NeuroShell 2 Help

- . -

.WK1 files

export

Spreadsheet File Export
Spreadsheet File Export - Detail

import

Spreadsheet File Import
Spreadsheet File Import - Detail

.XLS files

export

Spreadsheet File Export
Spreadsheet File Export - Detail

import

Spreadsheet File Import
Spreadsheet File Import - Detail

.XLW files

import

- A -

absolute error

maximum

mean

minimum

acceleration indicator

accumulation indicators

Accumulation1 - Call Open Interest
Accumulation1 - Call Volume
Accumulation1 - Open Interest
Accumulation1 - Put+Call Open Interest
Accumulation1 - Put+Call Volume
Accumulation1 - Put Open Interest
Accumulation1 - Put Volume
Accumulation1 - Volume
Accumulation2 - Call Open Interest
Accumulation2 - Call Volume
Accumulation2 - Open Interest
Accumulation2 - Put+Call Open Interest
Accumulation2 - Put+Call Volume
Accumulation2 - Put Open Interest
Accumulation2 - Put Volume
Accumulation2 - Volume

accumulation/distribution indicators

Accumulation/Distribution
William's Variable Accum/Dist - Call Open Interest
William's Variable Accum/Dist - Open Interest
William's Variable Accum/Dist - Put+Call Open Interest
William's Variable Accum/Dist - Put+Call Volume
William's Variable Accum/Dist - Put Open Interest
William's Variable Accum/Dist - Put Volume
William's Variable Accum/Dist - Volume

activation functions

actual output

Advanced System

Advanced Neural Networks
Advanced Neural Networks Detail

learning

advanced training criteria

GMDH

ADX indicator

application tips

101 uses for a neural network

alternative to discriminant function analysis

alternative to multiple regression

how to find the most important variables

market prediction

process control

sports prediction and handicapping

stock market prediction

which net to use

applications

how to build

apply network

backpropagation

GMDH

GRNN

Kohonen

PNN

architecture and parameters

ASCII files

export

ASCII File Export
ASCII File Export - Detail

import

ASCII File Import
ASCII File Import - Detail

attach files

Attach Output File
Attach Output File Detail

side by side

top to bottom

Average Directional Movement indicator (ADX)

average error

- B -

backpropagation

processing data files

example

Advanced System - Backpropagation - Lines
Advanced System - Backpropagation - XOR

learning

network architectures

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Recurrent Network
Backpropagation Architecture - Ward Networks
Network Architecture - Backpropagation

training and stop training criteria

Backpropagation Training Criteria
Backpropagation - Calibration
Backpropagation - Changes in Learning Rate/Momentum
Backpropagation - Pattern Selection
Backpropagation - Saving Training
Backpropagation - Stopping Training
Backpropagation - Weight Updates

training graphs

Backpropagation Error Factor Ranges Graphed Against Training Set Patterns
Backpropagation Error Factor Ranges Graphed Against Test Set Patterns
Backpropagation Test Set Average Error Graphed Against Intervals Elapsed
Backpropagation Training Set Average Error Graphed Against Epochs Elapsed

Beginner's System

Beginner's Neural Network
Tutorial One - Beginner's System Electric Cost Prediction
Tutorial Two - Beginner's System Stock Market Prediction
Beginner's System Learning
Beginner's Neural Network Detail
Learning (Beginner's System) - Detail

binary files

export

Binary File Export
Binary File Export - Detail

import

Binary File Import
Binary File Import - Detail

Bollinger Band indicators

Bollinger Band - %B
Bollinger Band - Band Width Percent
Bollinger Band - High
Bollinger Band - Low

- C -

C code

Source Code Generator Overview
How to Use the Source Code Generator

Calibration

Test Set Extract
Backpropagation - Calibration
Calibration
Test Set Extract Detail

candidates for survival

Candidates for Survival
Survivor

CCI indicator

change indicators

Change - Net Change (Momentum)
Change - Percent Change
Change - Rate of Change (Velocity)
Change - Rate of Rate of Change (Acceleration)
Commodity Channel Index (CCI)

changes

Changes Between Release 1.1 and 1.5
Changes Between Release 1.5 and 2.0
Changes Between Release 2.0 and 3.0
Changes Between Release 3.0 and 4.0
Program Changes

classifications

how to obtain

General
Processing Files Through a Trained Network

CloseNet

coefficient of multiple determination

color

variable graphs

Data Set Colors/Styles
Graph Attributes

columns

max number of

combining files

Attach Output File
Attach Files Side by Side
Attach Files Top to Bottom
Attach Output File Detail

Commodity Channel Index indicator

complex problem type

complexity penalty

contribution factor

contribution factors module

Contribution Factors
Contribution Factors Detail

correlation coefficient

correlation scatter plot

Correlation Scatter Plot Detail
Correlation Scatter Plot Overview

criterion

custom modules

Custom - Postnetwork
Custom - Prenetwork

- D -

daily change indicators

Daily Change - Average Change
Daily Change - Average Negative Change
Daily Change - Average Postive Change
Daily Change - # Negative Changes
Daily Change - # Positive Changes
Daily Change - # Pos minus # Neg (Dot)
Daily Change - Sum of Negative Changes
Daily Change - Sum of Positive Changes

data entry

NeuroShell 2 Datagrid
Data Entry (Datagrid) Detail

data ranking

Race Handicapping Prenetwork
Race Handicapping Postnetwork
Race Handicapping Postnetwork - Detail
Race Handicapping Prenetwork - Detail

data set colors

variable graphs

Datagrid

NeuroShell 2 Datagrid
Examine Data
Data Entry (Datagrid) Detail

define inputs and outputs

Define Inputs and Outputs
Define Inputs and Outputs Detail

design

architecture and parameters

training and stop training criteria

Directional Movement indicator (DX)

discriminant function analysis

displaying data

Viewer Detail
Viewer Overview

distribution by category

training graphs

Kohonen Distribution by Category - Bar
Kohonen Distribution by Category - Pie

DLL server

DLL Server Overview
How to Use the DLL Server

DX indicator

- E -

electric bill

Tutorial example one

epoch

error factor

error factor ranges

training graphs

Backpropagation Error Factor Ranges Graphed Against Training Set Patterns
Backpropagation Error Factor Ranges Graphed Against Test Set Patterns

event

examine data

examples

Advanced System - Backpropagation - Lines
Advanced System - PNN - Spiral
Advanced System - GRNN - Saddle
Advanced System - Kohonen - Realty
Advanced System - Backpropagation - XOR

index

Tutorial example one

Tutorial example three

Tutorial example two

Exclusive Or example

exploded file

Custom - Postnetwork
Custom - Prenetwork

export

ASCII (text) files

ASCII File Export
ASCII File Export - Detail

binary files

Binary File Export
Binary File Export - Detail

spreadsheet files

Spreadsheet File Export
Spreadsheet File Export - Detail

extended linear model

extensions

NeuroShell 2 files

- F -

file export

ASCII (text)

ASCII File Export
ASCII File Export - Detail

binary

Binary File Export
Binary File Export - Detail

spreadsheet

Spreadsheet File Export
Spreadsheet File Export - Detail

file import

ASCII (text)

ASCII File Import
ASCII File Import - Detail

binary

Binary File Import
Binary File Import - Detail

spreadsheet

Spreadsheet File Import
Spreadsheet File Import - Detail

file types

FireNet

formula

as a result of GMDH (polynomial) network

futures

preprocessing data

- G -

Gaussian

activation function

General Regression Neural Network

architecture

GRNN Architecture
Network Architecture - GRNN

genetic adaptive learning

PNN Genetic Adaptive Learning
GRNN Genetic Adaptive Learning

genetic algorithm

PNN Genetic Adaptive Learning
GRNN Genetic Adaptive Learning

glossary

glue files

Attach Output File
Attach Files Side by Side
Attach Files Top to Bottom
Attach Output File Detail

GMDH

learning

model

network architecture

GMDH Architecture
Network Architecture - GMDH

processing data files

training and stop training criteria

GMDH Smart Training Criteria
GMDH Advanced Training Criteria

training graphs

GMDH overview

graph

training graphs

Backpropagation Error Factor Ranges Graphed Against Training Set Patterns
Backpropagation Error Factor Ranges Graphed Against Test Set Patterns
Backpropagation Test Set Average Error Graphed Against Intervals Elapsed
Backpropagation Training Set Average Error Graphed Against Epochs Elapsed
GMDH Criterion Value Graphed By Layer Number
GRNN Test Set Mean Square Error Graphed Against Generations
GRNN Test Set Mean Square Error Graphed Against Smoothing Factor
Kohonen Distribution by Category - Bar
Kohonen Distribution by Category - Pie
PNN Incorrect Patterns Graphed Against Smoothing Factor
PNN Test Set MSE Graphed Against Generations

variable graphs

Variable Graphs
Details on Different Graph Types
Correlation Scatter Plot Detail
Correlation Scatter Plot Overview
Data Set Colors/Styles
Graph Attributes
Graph Scaling
Graph Variable(s) Across All Patterns Detail
Graph Variable(s) Across All Patterns Overview
Graph Variable Sets in a Pattern Detail
Graph Variable Sets in a Pattern Overview
High Low Close Graph Detail
High Low Close Graph Overview

graph type

variable graphs

grid

variable graphs

GRNN

example

learning

GRNN Learning
GRNN Genetic Adaptive Learning

network architecture

GRNN Architecture
Network Architecture - GRNN

processing data files

training and stop training criteria

training graphs

GRNN Test Set Mean Square Error Graphed Against Generations
GRNN Test Set Mean Square Error Graphed Against Smoothing Factor

Group Method of Data Handling

network architecture

GMDH Architecture
Network Architecture - GMDH

- H -

handicapping

application tips

help file index

hidden neurons

number of

high low close graph

High Low Close Graph Detail
High Low Close Graph Overview

horse races

processing data

Custom - Postnetwork
Custom - Prenetwork

horse racing

application tips

how to use NeuroShell 2

hyperbolic tangent

scaling and activation functions

- I -

imploded file

import

ASCII (text) files

ASCII File Import
ASCII File Import - Detail

binary files

Binary File Import
Binary File Import - Detail

spreadsheet files

Spreadsheet File Import
Spreadsheet File Import - Detail

importance of variables

How Do I Find the Most Important Variables (Inputs)?
Contribution Factor

independent variable

index

Example Index
Help File Index
NeuroShell 2 Help Index

indicators

Indicator Optimizer

indicators

Market Indicator Package Overview
How to Use the Market Indicator Package

acceleration

accumulation

Accumulation1 - Call Open Interest
Accumulation1 - Call Volume
Accumulation1 - Open Interest
Accumulation1 - Put+Call Open Interest
Accumulation1 - Put+Call Volume
Accumulation1 - Put Open Interest
Accumulation1 - Put Volume
Accumulation1 - Volume
Accumulation2 - Call Open Interest
Accumulation2 - Call Volume
Accumulation2 - Open Interest
Accumulation2 - Put+Call Open Interest
Accumulation2 - Put+Call Volume
Accumulation2 - Put Open Interest
Accumulation2 - Put Volume
Accumulation2 - Volume

accumulation/distribution

Accumulation/Distribution
William's Variable Accum/Dist - Call Open Interest
William's Variable Accum/Dist - Open Interest
William's Variable Accum/Dist - Put+Call Open Interest
William's Variable Accum/Dist - Put+Call Volume
William's Variable Accum/Dist - Put Open Interest
William's Variable Accum/Dist - Put Volume
William's Variable Accum/Dist - Volume

Average Directional Movement (ADX)

Bollinger Band

Bollinger Band - %B
Bollinger Band - Band Width Percent
Bollinger Band - High
Bollinger Band - Low

change

Change - Net Change (Momentum)
Change - Percent Change
Change - Rate of Change (Velocity)
Change - Rate of Rate of Change (Acceleration)
Commodity Channel Index (CCI)

Commodity Channel Index (CCI)

daily change

Daily Change - Average Change
Daily Change - Average Negative Change
Daily Change - Average Postive Change
Daily Change - # Negative Changes
Daily Change - # Positive Changes
Daily Change - # Pos minus # Neg (Dot)
Daily Change - Sum of Negative Changes
Daily Change - Sum of Positive Changes

Directional Movement (DX)

lag

lagged moving average

Lagged Mov Avg - Exponential
Lagged Mov Avg - Linearly Weighted
Lagged Mov Avg - Simple

lead

life force

Life Force - Call Open Interest
Life Force - Call Volume
Life Force - Open Interest
Life Force - Put+Call Open Interest
Life Force - Put+Call Volume
Life Force - Put Open Interest
Life Force - Put Volume
Life Force - Volume

linear regression

Linear Regression - Coef of Determination (R2)
Linear Regression - Coef of Regression (slope)
Linear Regression - Predicted Change
Linear Regression - Predicted Value
Linear Regression - Standard Error of Estimate

list of

MACD

Mass Index

momentum

moving average

Mov Avg - Exponential
Mov Avg - Simple

moving average difference

Mov Avg Diff - Exponential
Mov Avg Diff - Exponential & Lagged Exp
Mov Avg Diff - Linearly Weighted
Mov Avg Diff - Lin Wgt & Lagged Lin Wgt
Mov Avg Diff - Simple
Mov Avg Diff - Simple & Lagged Simple

moving average of moving average difference

Mov Avg of Mov Avg Diff - Exponential (MACD)
Mov Avg of Mov Avg Diff - Linearly Weighted
Mov Avg of Mov Avg Diff - Simple

negative indexes

Negative Call Open Interest Index
Negative Call Volume Index
Negative Open Interest Index
Negative Put+Call Open Interest Index
Negative Put+Call Volume Index
Negative Put Open Interest Index
Negative Put Volume Index
Negative Volume Index

on balance

On Balance Call Open Interest
On Balance Call Volume
On Balance Open Interest
On Balance Put+Call Open Interest
On Balance Put+Call Volume
On Balance Put Open Interest
On Balance Put Volume
On Balance Volume

positive indexes

Positive Call Open Interest Index
Positive Call Volume Index
Positive Open Interest Index
Positive Put+Call Open Interest Index
Positive Put+Call Volume Index
Positive Put Open Interest Index
Positive Put Volume Index
Positive Volume Index

price trend

Price Trend - Call Open Interest
Price Trend - Call Volume
Price Trend - Open Interest
Price Trend - Put+Call Open Interest
Price Trend - Put+Call Volume
Price Trend - Put Open Interest
Price Trend - Put Volume
Price Trend - Volume

range

Range - Highest minus Lowest Value
Range - Highest Value
Range - Lowest Value
Range - %R (Stochastic %K variation)

references

relative strength index (RSI)

Relative Strength Index (RSI) - Cutler's
Relative Strength Index (RSI) - Wilder's

resistance indexes

Resistance Index - Call Open Interest
Resistance Index - Call Volume
Resistance Index - Open Interest
Resistance Index - Put+Call Open Interest
Resistance Index - Put+Call Volume
Resistance Index - Put Open Interest
Resistance Index - Put Volume
Resistance Index - Volume

resistance to advances

Resistance to Advances - Call Open Interest
Resistance to Advances - Call Volume
Resistance to Advances - Open Interest
Resistance to Advances - Put+Call Open Interest
Resistance to Advances - Put+Call Volume
Resistance to Advances - Put Open Interest
Resistance to Advances - Put Volume
Resistance to Advances - Volume

resistance to declines

Resistance to Declines - Call Open Interest
Resistance to Declines - Call Volume
Resistance to Declines - Open Interest
Resistance to Declines - Put+Call Open Interest
Resistance to Declines - Put+Call Volume
Resistance to Declines - Put Open Interest
Resistance to Declines - Put Volume
Resistance to Declines - Volume

standard deviation

stochastic

Slow Stochastic %D
Stochastic %D
Stochastic %K

true strength (TSI)

velocity

weighted moving average

Mov Avg - Linearly Weighted
Moving Avg - Call Open Interest Weighted
Moving Avg - Call Volume Weighted
Moving Avg - Open Interest Weighted
Moving Avg - Put+Call Open Interest Weighted
Moving Avg - Put+Call Volume Weighted
Moving Avg - Put Open Interest Weighted
Moving Avg - Put Volume Weighted
Moving Avg - Volume Weighted

William's

William's %R
William's Variable Accum/Dist - Call Open Interest
William's Variable Accum/Dist - Open Interest
William's Variable Accum/Dist - Put+Call Open Interest
William's Variable Accum/Dist - Put+Call Volume
William's Variable Accum/Dist - Put Open Interest
William's Variable Accum/Dist - Put Volume
William's Variable Accum/Dist - Volume

input

installation

internal files

internal machine format files

export

Binary File Export
Binary File Export - Detail

import

Binary File Import
Binary File Import - Detail

- J -

jump connections

Backpropagation Architecture - Jump Connections
Jump Connections
Network Architecture - Backpropagation

- K -

Kohonen

example

learning

network architecture

Kohonen Architecture
Network Architecture - Kohonen

processing data files

training and stop training criteria

training graphs

Kohonen Distribution by Category - Bar
Kohonen Distribution by Category - Pie

- L -

lag indicator

lagged moving average indicators

Lagged Mov Avg - Exponential
Lagged Mov Avg - Linearly Weighted
Lagged Mov Avg - Simple

layer

lead indicator

learn

learning

Learning
Beginner's System Learning
Learning (Beginner's System) - Detail

backpropagation

GMDH

GRNN

GRNN Learning
GRNN Genetic Adaptive Learning

Kohonen

PNN

PNN Learning
PNN Genetic Adaptive Learning

learning paradigms

backpropagation

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Recurrent Network
Backpropagation Architecture - Ward Networks
Network Architecture - Backpropagation

GMDH

GMDH Architecture
Network Architecture - GMDH

GRNN

GRNN Architecture
Network Architecture - GRNN

Kohonen

Kohonen Architecture
Network Architecture - Kohonen

PNN

PNN Architecture
Network Architecture - PNN

learning rate

Backpropagation - Changes in Learning Rate/Momentum
Backpropagation - Weight Updates
Learning Rate

legend

variable graphs

life force indicators

Life Force - Call Open Interest
Life Force - Call Volume
Life Force - Open Interest
Life Force - Put+Call Open Interest
Life Force - Put+Call Volume
Life Force - Put Open Interest
Life Force - Put Volume
Life Force - Volume

limitations

number of columns and rows

line statistics

variable graphs

linear

scaling and activation functions

linear correlation coefficient

Correlation Coefficient r (Linear Correlation Coefficient)
Correlation Scatter Plot Detail
Correlation Scatter Plot Overview

linear regression indicators

Linear Regression - Coef of Determination (R2)
Linear Regression - Coef of Regression (slope)
Linear Regression - Predicted Change
Linear Regression - Predicted Value
Linear Regression - Standard Error of Estimate

Lines example

link

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Recurrent Network
Backpropagation Architecture - Ward Networks
Link

logistic

scaling and activation functions

- M -

MACD indicator

main menu

market indicator package

Market Indicator Package Overview
How to Use the Market Indicator Package

market indicators

market prediction

application tips

Mass Index indicator

maximum absolute error

mean absolute error

mean squared error

Apply Backpropagation Network
Apply GRNN Network
Apply GMDH Network
Mean Squared Error

minimum absolute error

missing values

model

GMDH

model complexity

limiting

module

momentum

Backpropagation - Changes in Learning Rate/Momentum
Backpropagation - Weight Updates
Momentum

momentum indicator

monochrome

variable graphs

most important variables

how to find

moving average difference indicators

Mov Avg Diff - Exponential
Mov Avg Diff - Exponential & Lagged Exp
Mov Avg Diff - Linearly Weighted
Mov Avg Diff - Lin Wgt & Lagged Lin Wgt
Mov Avg Diff - Simple
Mov Avg Diff - Simple & Lagged Simple

moving average indicators

Mov Avg - Exponential
Mov Avg - Linearly Weighted
Mov Avg - Simple
Moving Avg - Call Open Interest Weighted
Moving Avg - Call Volume Weighted
Moving Avg - Open Interest Weighted
Moving Avg - Put+Call Open Interest Weighted
Moving Avg - Put+Call Volume Weighted
Moving Avg - Put Open Interest Weighted
Moving Avg - Put Volume Weighted
Moving Avg - Volume Weighted

moving average of moving average difference indicators

Mov Avg of Mov Avg Diff - Exponential (MACD)
Mov Avg of Mov Avg Diff - Linearly Weighted
Mov Avg of Mov Avg Diff - Simple

multiple regression analysis

- N -

negative indexes - indicators

Negative Call Open Interest Index
Negative Call Volume Index
Negative Open Interest Index
Negative Put+Call Open Interest Index
Negative Put+Call Volume Index
Negative Put Open Interest Index
Negative Put Volume Index
Negative Volume Index

neighborhood

network architectures

backpropagation

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Recurrent Network
Backpropagation Architecture - Ward Networks
Network Architecture - Backpropagation

choice

GMDH

GMDH Architecture
Network Architecture - GMDH

GRNN

GRNN Architecture
Network Architecture - GRNN

Kohonen

Kohonen Architecture
Network Architecture - Kohonen

PNN

PNN Architecture
Network Architecture - PNN

neural network

overview

neural network application

how to build

neuron

NeuroShell 2

application tips

detailed help file index

help

help file main contents

how to use

internal files format

overview

product support

program changes

Changes Between Release 1.1 and 1.5
Changes Between Release 1.5 and 2.0
Changes Between Release 2.0 and 3.0
Changes Between Release 3.0 and 4.0
Program Changes

references

NS2-32.DLL

- O -

on balance indicators

On Balance Call Open Interest
On Balance Call Volume
On Balance Open Interest
On Balance Put+Call Open Interest
On Balance Put+Call Volume
On Balance Put Open Interest
On Balance Put Volume
On Balance Volume

on-line tutorial

OpenNet

optimization

indicators

output file

printing

Printouts
Printouts Detail

output neuron values

overview

- P -

pattern

pattern selection

PNN

example

learning

PNN Learning
PNN Genetic Adaptive Learning

network architectures

PNN Architecture
Network Architecture - PNN

processing data files

training and stop training criteria

training graphs

PNN Incorrect Patterns Graphed Against Smoothing Factor
PNN Test Set MSE Graphed Against Generations

polynomial networks

GMDH Architecture
Polynomial Nets (GMDH) Overview
Network Architecture - GMDH

positive indexes - indicators

Positive Call Open Interest Index
Positive Call Volume Index
Positive Open Interest Index
Positive Put+Call Open Interest Index
Positive Put+Call Volume Index
Positive Put Open Interest Index
Positive Put Volume Index
Positive Volume Index

Predict

prediction

application tips

Market Predictions
Sports Prediction and Handicapping

predictions

how to obtain

General
Processing Files Through a Trained Network

price trend indicators

Price Trend - Call Open Interest
Price Trend - Call Volume
Price Trend - Open Interest
Price Trend - Put+Call Open Interest
Price Trend - Put+Call Volume
Price Trend - Put Open Interest
Price Trend - Put Volume
Price Trend - Volume

printing help file chapters

printouts

Printouts
Printouts Detail

Probabilistic Neural Networks

network architecture

PNN Architecture
Network Architecture - PNN

problem

problem name

problem output

problem type

Beginner's System

Complex Problem Type
Problem Type
Simple Problem Type

process control

application tips

processing data files

General
Processing Files Through a Trained Network

backpropagation

GMDH

GRNN

Kohonen

PNN

product support

production set

Test Set Extract
Test Set Extract Detail

program changes

Changes Between Release 1.1 and 1.5
Changes Between Release 1.5 and 2.0
Changes Between Release 2.0 and 3.0
Changes Between Release 3.0 and 4.0
Program Changes

propagate

pruning weights

- R -

R squared

Apply Backpropagation Network
Apply GRNN Network
Apply GMDH Network
R Squared

race handicapping

Race Handicapping Prenetwork
Race Handicapping Postnetwork
Custom - Postnetwork
Custom - Prenetwork
Race Handicapping Postnetwork - Detail
Race Handicapping Prenetwork - Detail

Tutorial example three

random pattern selection

range indicators

Range - Highest minus Lowest Value
Range - Highest Value
Range - Lowest Value
Range - %R (Stochastic %K variation)

real estate

example

Realty example

recurrent network

recurrent networks

Backpropagation Architecture - Recurrent Network
Network Architecture - Backpropagation

references

indicators

relative strength index indicators

Relative Strength Index (RSI) - Cutler's
Relative Strength Index (RSI) - Wilder's

resistance indexes - indicators

Resistance Index - Call Open Interest
Resistance Index - Call Volume
Resistance Index - Open Interest
Resistance Index - Put+Call Open Interest
Resistance Index - Put+Call Volume
Resistance Index - Put Open Interest
Resistance Index - Put Volume
Resistance Index - Volume

resistance to advances indicators

Resistance to Advances - Call Open Interest
Resistance to Advances - Call Volume
Resistance to Advances - Open Interest
Resistance to Advances - Put+Call Open Interest
Resistance to Advances - Put+Call Volume
Resistance to Advances - Put Open Interest
Resistance to Advances - Put Volume
Resistance to Advances - Volume

resistance to declines indicators

Resistance to Declines - Call Open Interest
Resistance to Declines - Call Volume
Resistance to Declines - Open Interest
Resistance to Declines - Put+Call Open Interest
Resistance to Declines - Put+Call Volume
Resistance to Declines - Put Open Interest
Resistance to Declines - Put Volume
Resistance to Declines - Volume

rotation pattern selection

rows

max number of

RSI indicators

Relative Strength Index (RSI) - Cutler's
Relative Strength Index (RSI) - Wilder's

Rules

Rules
Rules Detail

runtime facilities

Runtime Facilities
DLL Server Overview
How to Use the DLL Server
Source Code Generator Overview
How to Use the Source Code Generator

- S -

Saddle example

saving training

scaling functions

scatter graph symbol

variable graphs

selection criterion

GMDH Advanced Training Criteria
Selection Criterion

self organizing map

Kohonen Architecture
Network Architecture - Kohonen

set minimum and maximum values

Define Inputs and Outputs
Define Inputs and Outputs Detail

setup

simple problem type

sine

activation function

slab

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Recurrent Network
Backpropagation Architecture - Ward Networks
Slab

smart training criteria

GMDH

smoothing factor

Apply PNN Network
Apply GRNN Network
GRNN Test Set Mean Square Error Graphed Against Smoothing Factor
PNN Incorrect Patterns Graphed Against Smoothing Factor
Smoothing Factor

source code generator

Source Code Generator Overview
How to Use the Source Code Generator

Spiral example

sports prediction

application tips

spreadsheet files

export

Spreadsheet File Export
Spreadsheet File Export - Detail

import

Spreadsheet File Import
Spreadsheet File Import - Detail

spreadsheet format

spreadsheet program

how to change

NeuroShell 2 regular

squared error

mean

standard connections

Backpropagation Architecture - Standard Connections
Standard Connections

standard deviation indicator

starting NeuroShell 2

statistics

training

Backpropagation Learning
Kohonen Learning
PNN Learning
PNN Genetic Adaptive Learning
GRNN Learning
GRNN Genetic Adaptive Learning
GMDH Learning

stochastic indicators

Slow Stochastic %D
Stochastic %D
Stochastic %K

stock

preprocessing data

stock market

application tips (Tutorial example two)

stock market prediction

application tips

stocks

Market Indicator Package Overview
How to Use the Market Indicator Package

stop training criteria

backpropagation

Backpropagation Training Criteria
Backpropagation - Calibration
Backpropagation - Stopping Training

GMDH

GMDH Smart Training Criteria
GMDH Advanced Training Criteria

GRNN

Kohonen

PNN

styles

variable graphs

supervised learning

supervised network

survivor

symbol translate

Symbol Translate Input Files
Symbol Translate Output Files
Symbol Translate Input Files - Detail
Symbol Translate Output Files - Detail

- T -

technical support

test interval

test pattern

test set

test set extract

Test Set Extract
Test Set Extract Detail

text files

export

ASCII File Export
ASCII File Export - Detail

import

ASCII File Import
ASCII File Import - Detail

time series data

graphing

Graph Variable(s) Across All Patterns Detail
Graph Variable(s) Across All Patterns Overview

titles

variable graphs

train

training

Learning
Beginner's System Learning
Learning (Beginner's System) - Detail

backpropagation

GMDH

GRNN

GRNN Learning
GRNN Genetic Adaptive Learning

Kohonen

PNN

PNN Learning
PNN Genetic Adaptive Learning

training and stop training criteria

backpropagation

Backpropagation Training Criteria
Backpropagation - Calibration
Backpropagation - Changes in Learning Rate/Momentum
Backpropagation - Pattern Selection
Backpropagation - Saving Training
Backpropagation - Stopping Training
Backpropagation - Weight Updates

GMDH

GMDH Smart Training Criteria
GMDH Advanced Training Criteria

GRNN

Kohonen

PNN

training graphs

Backpropagation Learning
Kohonen Learning
PNN Learning
PNN Genetic Adaptive Learning
GRNN Learning
GRNN Genetic Adaptive Learning
GMDH Learning
Backpropagation Error Factor Ranges Graphed Against Training Set Patterns
Backpropagation Error Factor Ranges Graphed Against Test Set Patterns
Backpropagation Test Set Average Error Graphed Against Intervals Elapsed
Backpropagation Training Set Average Error Graphed Against Epochs Elapsed
GMDH Criterion Value Graphed By Layer Number
GRNN Test Set Mean Square Error Graphed Against Generations
GRNN Test Set Mean Square Error Graphed Against Smoothing Factor
Kohonen Distribution by Category - Bar
Kohonen Distribution by Category - Pie
PNN Incorrect Patterns Graphed Against Smoothing Factor
PNN Test Set MSE Graphed Against Generations

training pattern

training set

Test Set Extract
Test Set Extract Detail

training statistics

Backpropagation Learning
Kohonen Learning
PNN Learning
PNN Genetic Adaptive Learning
GRNN Learning
GRNN Genetic Adaptive Learning
GMDH Learning

transfer functions

transfer information to another problem

True Strength Indicator (TSI)

TSI indicator

TurboProp

tutorial

example one

example three

example two

types of networks

backpropagation

Backpropagation Architecture - Standard Connections
Backpropagation Architecture - Jump Connections
Backpropagation Architecture - Ward Networks
Network Architecture - Backpropagation

GMDH

GMDH Architecture
Network Architecture - GMDH

GRNN

GRNN Architecture
Network Architecture - GRNN

Kohonen

Kohonen Architecture
Network Architecture - Kohonen

PNN

PNN Architecture
Network Architecture - PNN

types of NeuroShell 2 files

- U -

unsupervised learning

unsupervised network

useful hints

GMDH

GMDH Smart Training Criteria
GMDH Advanced Training Criteria

uses for a neural network

- V -

vanilla weight updates

variable graphs

Variable Graphs
Details on Different Graph Types
Correlation Scatter Plot Detail
Correlation Scatter Plot Overview
Data Set Colors/Styles
Graph Attributes
Graph Scaling
Graph Variable(s) Across All Patterns Detail
Graph Variable(s) Across All Patterns Overview
Graph Variable Sets in a Pattern Detail
Graph Variable Sets in a Pattern Overview
High Low Close Graph Detail
High Low Close Graph Overview

velocity indicator

viewer

Viewer Detail
Viewer Overview

Visual Basic code

Source Code Generator Overview
How to Use the Source Code Generator

- W -

Ward networks

Backpropagation Architecture - Ward Networks
Network Architecture - Backpropagation

weight updates

weighted moving average indicators

Mov Avg - Linearly Weighted
Moving Avg - Call Open Interest Weighted
Moving Avg - Call Volume Weighted
Moving Avg - Open Interest Weighted
Moving Avg - Put+Call Open Interest Weighted
Moving Avg - Put+Call Volume Weighted
Moving Avg - Put Open Interest Weighted
Moving Avg - Put Volume Weighted
Moving Avg - Volume Weighted

weights

Show Weights
Weights

weights in link

showing

William's indicators

William's %R
William's Variable Accum/Dist - Call Open Interest
William's Variable Accum/Dist - Open Interest
William's Variable Accum/Dist - Put+Call Open Interest
William's Variable Accum/Dist - Put+Call Volume
William's Variable Accum/Dist - Put Open Interest
William's Variable Accum/Dist - Put Volume
William's Variable Accum/Dist - Volume

winning neuron

Apply Kohonen Network
Apply PNN Network

word processor files

export

ASCII File Export
ASCII File Export - Detail

import

ASCII File Import
ASCII File Import - Detail

- X -

XOR example