| How to Print the Help File |
 | Printing Help File Chapters |
| Introduction |
| Installation |
| NeuroShell 2 Help |
| Product Support Information |
| NeuroShell 2 Overview |
| How to Use NeuroShell 2 |
| Beginner's Neural Network |
| Advanced Neural Networks |
| Runtime Facilities |
| NeuroShell 2 Files - Spreadsheet Format |
| How to Build a Neural Network Application |
| Which Net Should I Use? |
| How Do I Find the Most Important Variables (Inputs)? |
| Examples |
| On-Line Tutorial |
| Tutorial One - Beginner's System Electric Cost Prediction |
| Tutorial Two - Beginner's System Stock Market Prediction |
| Tutorial Three - Advanced System Race Handicapping |
| Advanced System - Backpropagation - Lines |
| Advanced System - PNN - Spiral |
| Advanced System - GRNN - Saddle |
| Advanced System - Kohonen - Realty |
| Advanced System - Backpropagation - XOR |
| File Input |
| File Import |
| General |
| ASCII File Import |
| Binary File Import |
| Spreadsheet File Import |
| NeuroShell 2 Datagrid |
| Prenetwork |
| Symbol Translate Input Files |
| Rules |
| Variable Graphs |
| Details on Different Graph Types |
| Build Neural Network |
| Define Inputs and Outputs |
| Test Set Extract |
| Design |
| Design |
| Backpropagation networks |
| Backpropagation Architecture - Standard Connections |
| Backpropagation Architecture - Jump Connections |
| Backpropagation Architecture - Recurrent Network |
| Backpropagation Architecture - Ward Networks |
| Backpropagation Training Criteria |
| Kohonen networks |
| Kohonen Architecture |
| Kohonen Training Criteria |
| Probabilistic Neural Networks (PNN) |
| PNN Architecture |
| PNN Training Criteria |
| General Regression Neural Networks (GRNN) |
| GRNN Architecture |
| GRNN Training Criteria |
| Group Method of Data Handling (GMDH) networks |
| GMDH Architecture |
| GMDH Smart Training Criteria |
| GMDH Advanced Training Criteria |
| Learning |
| Learning |
| Beginner's System Learning |
| Backpropagation Learning |
| Kohonen Learning |
| PNN Learning |
| PNN Genetic Adaptive Learning |
| GRNN Learning |
| GRNN Genetic Adaptive Learning |
| GMDH Learning |
| Viewing and Changing Weights in Link |
| Apply Neural Networks |
| Contribution Factors |
| Apply to File |
| General |
| Apply Backpropagation Network |
| Apply Kohonen Network |
| Apply PNN Network |
| Apply GRNN Network |
| Apply GMDH Network |
| Attach Output File |
| Processing Files Through a Trained Network |
| Postnetwork |
| Variable Graphs |
| Rules |
| Symbol Translate Output Files |
| Problem Output |
| File Export |
| File Export |
| ASCII File Export |
| Binary File Export |
| Spreadsheet File Export |
| Examine Data |
| Printouts |
| Runtime |
| DLL Server Overview |
| How to Use the DLL Server |
| Source Code Generator Overview |
| How to Use the Source Code Generator |
| Options |
| Market Indicator Package |
| Market Indicator Package Overview |
| How to Use the Market Indicator Package |
| Indicator Optimizer |
| List of Indicators |
| Indicator References |
| Race Handicapping Package |
| Race Handicapping Prenetwork |
| Race Handicapping Postnetwork |
| Appendixes |
| Neural Network Overview |
| 101 Uses for a Neural Network |
| Application Tips |
| Market Predictions |
| Sports Prediction and Handicapping |
| Process Control |
| Alternative to Multiple Regression |
| Alternative to Discriminant Function Analysis |
| Polynomial Nets (GMDH) Overview |
| Glossary |
| References |
| Changes from Previous Releases |
| 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 |
| Changes Between Release 4.0 and 4.2 |
© 2008 Ward Systems Group Inc.