Glossary

Glossary

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Absolute Error

Actual Output

Average Error

Calibration

Candidates for Survival

Complex Problem Type

Complexity Penalty

Contribution Factor

Correlation Coefficient r

Epoch

Error Factor

Event

Export

Extended Linear Model

GMDH Model

Input

Jump Connections

Layer

Learning Rate

Link

Maximum Absolute Error

Mean Absolute Error

Mean Squared Error

Minimum Absolute Error

Module

Momentum

Neighborhood

Neural Network

Neuron

Output

Pattern

Problem

Problem Type

Propagate

R Squared

Recurrent Network

Selection Criterion

Simple Problem Type

Slab

Smoothing Factor

Standard Connections

Supervised Learning

Survivor

Train

Training Pattern

Test Pattern

Unsupervised Learning

Weights