About Attrasoft PolyApplet 6.0 Installing PolyApplet Statement of Copyright Restriction 1. Introduction 1.1 Neural Networks 1.2 Hopfield Model and Boltzmann Machine 1.3 History of PolyApplet 1.3.1 ABM 2.7 1.3.2 PolyNet 4.0 1.3.3 ImageFinder 1.3.4 DecisionMaker 2.5 1.3.5 Predictor 2.6 1.4 Training and Recognition 1.5 ABM2 2. Attrasoft Component-Object Structures 2.1 Neural Network Layer 2.2 Presentation Layer 2.3 Application Layer 2.3.1 ABM 2.7 2.3.2 PolyNet 4.0 2.3.3 DecisionMaker 2.5 2.3.4 Predictor 2.6 2.4 What is PolyApplet Class Library? 2.5 Organization Of This User�s Guide 2.6 Terminology 2.7 Chapter Overview 3. Attrasoft PolyApplet63 3.1 Class Library Name 3.2 Interface 3.3 Class Library Overview 3.4 Link To Class Library 3.5 Training and Recognition File Format 3.5.1 Data File Formats 3.5.2 Limits 3.6 Setting Up PolyApplet Output Files 3.6.1 Position of a Digit in a String 3.6.2 Output File Format 3.7 Setup Symmetry 3.7.1 Setup Symmetry Parameters 3.8 Neural Commands 3.8.1 Binary and Polytomous Recognition Commands 3.8.2 Classification and Distribution 3.8.3 1-Neuron-1-Class Classifications/Distributions 3.8.4 Training, Retraining and Recognition 3.8.5 Array Commands 3.8.6 Search Commands 3.9 Test Input File Format 3.10 Messages 3.11 Example Class 3.12 Common Errors 4. Building a Simple ABM 2.7 4.1 Creating A Form 4.2 Training File Assignment 4.3 Recognition and Output File Assignment 4.4 Distribution and Classification 4.5 Test Run 5. Building a Simple PolyNet 4.0 5.1 Creating a Dialog 5.2 The Symmetry Dialog 5.2.1 The Symmetry Dialog 5.2.2 Display the Existing Symmetry 5.2.3 Set New Symmetry 5.3 The Line Breaker Dialog 5.4 PolyNet Commands 5.5 Test Run 6. Building Attrasoft PolyNet 4.0 6.1 PolyNet 4.0 Commands 6.2 Miscellaneous Commands 6.3 Adding Examples 6.4 Test Run 7. Array Commands 7.1 Creating an Array Project 7.2 Training 7.3 Recognition 7.4 Test Run 8. Predictor Translation Layer 8.1 What is the Attrasoft Predictor ? 8.2 Abm2 Class Library 8.3 Link to Abm2 Class Library 8.4 File Properties and Commands 8.5 Encoding and Decoding Methods 8.6 Parameters 8.7 Chapter Project 1: File IO 8.8 Chapter Project 2: Neural Computing 8.9 Chapter Project 3: Encoding and Decoding 8.10 Chapter Project 4: Run Chap 9. Predictor-PolyNet Translation Layer 9.1 Encoding and Decoding Functions 9.2 Parameters 9.3 Chapter Project: Encoding and Decoding 9.4 Test Run Chap 10. DecisionMaker Translation Layer 10.1 What is the Attrasoft DecisionMaker ? 10.2 Abm2 Class Library 10.3 Link to Abm2 Class Library 10.4 File Properties and Commands 10.5 Encoding and Decoding Functions 10.6 Parameters 10.7 Chapter Project 1: File IO 10.8 Chapter Project 2: Neural Computing 10.9 Chapter Project 3: Encoding and Decoding 10.10 Wisconsin Breast Cancer Database 10.11 Chapter Project 4: Run Chap 11. DecisionMaker-PolyNet Translation Layer 11.1 Encoding and Decoding Methods 11.2 Parameters 11.3 Chapter Project: Encoding and Decoding 11.4 Wisconsin Breast Cancer Database 11.5 Test Run 12. Predictor63 12.1 Predictor63 Interface 12.2 Input and Output 12.3 Parameters 12.4 Link to Class Library 12.5 Prediction Buttons 12.6 Test Run 13. PredictorPoly63 Class Library 13.1 PredictorPoly63 Interface 13.2 Link to Class Library 13.3 Prediction Buttons 13.4 Test Run 14. DecisionMaker63 Class Library 14.1 DecisionMaker63 Interface 14.2 Input 14.3 Parameters 14.4 Link to Class Library 14.5 DecisionMaker Buttons 14.6 Test Run 15. DecisionMakerPoly63 Class Library 15.1 DecisionMakerPoly63 Interface 15.2 Link to Class Library 15.3 Prediction Buttons 15.4 Test Run
1. Introduction
1.1 Neural Networks 1.2 Hopfield Model and Boltzmann Machine 1.3 History of PolyApplet 1.3.1 ABM 2.7 1.3.2 PolyNet 4.0 1.3.3 ImageFinder 1.3.4 DecisionMaker 2.5 1.3.5 Predictor 2.6 1.4 Training and Recognition 1.5 ABM2
1.3.1 ABM 2.7 1.3.2 PolyNet 4.0 1.3.3 ImageFinder 1.3.4 DecisionMaker 2.5 1.3.5 Predictor 2.6
2.1 Neural Network Layer 2.2 Presentation Layer 2.3 Application Layer 2.3.1 ABM 2.7 2.3.2 PolyNet 4.0 2.3.3 DecisionMaker 2.5 2.3.4 Predictor 2.6 2.4 What is PolyApplet Class Library? 2.5 Organization Of This User�s Guide 2.6 Terminology 2.7 Chapter Overview
2.3.1 ABM 2.7 2.3.2 PolyNet 4.0 2.3.3 DecisionMaker 2.5 2.3.4 Predictor 2.6
3.1 Class Library Name 3.2 Interface 3.3 Class Library Overview 3.4 Link To Class Library 3.5 Training and Recognition File Format 3.5.1 Data File Formats 3.5.2 Limits 3.6 Setting Up PolyApplet Output Files 3.6.1 Position of a Digit in a String 3.6.2 Output File Format 3.7 Setup Symmetry 3.7.1 Setup Symmetry Parameters 3.8 Neural Commands 3.8.1 Binary and Polytomous Recognition Commands 3.8.2 Classification and Distribution 3.8.3 1-Neuron-1-Class Classifications/Distributions 3.8.4 Training, Retraining and Recognition 3.8.5 Array Commands 3.8.6 Search Commands 3.9 Test Input File Format 3.10 Messages 3.11 Example Class 3.12 Common Errors
3.5.1 Data File Formats 3.5.2 Limits
3.6.1 Position of a Digit in a String 3.6.2 Output File Format
3.7.1 Setup Symmetry Parameters
3.8.1 Binary and Polytomous Recognition Commands 3.8.2 Classification and Distribution 3.8.3 1-Neuron-1-Class Classifications/Distributions 3.8.4 Training, Retraining and Recognition 3.8.5 Array Commands 3.8.6 Search Commands
4.1 Creating A Form 4.2 Training File Assignment 4.3 Recognition and Output File Assignment 4.4 Distribution and Classification 4.5 Test Run
5.1 Creating a Dialog 5.2 The Symmetry Dialog 5.2.1 The Symmetry Dialog 5.2.2 Display the Existing Symmetry 5.2.3 Set New Symmetry 5.3 The Line Breaker Dialog 5.4 PolyNet Commands 5.5 Test Run
5.2.1 The Symmetry Dialog 5.2.2 Display the Existing Symmetry 5.2.3 Set New Symmetry
6.1 PolyNet 4.0 Commands 6.2 Miscellaneous Commands 6.3 Adding Examples 6.4 Test Run
7.1 Creating an Array Project 7.2 Training 7.3 Recognition 7.4 Test Run
8.1 What is the Attrasoft Predictor ? 8.2 Abm2 Class Library 8.3 Link to Abm2 Class Library 8.4 File Properties and Commands 8.5 Encoding and Decoding Methods 8.6 Parameters 8.7 Chapter Project 1: File IO 8.8 Chapter Project 2: Neural Computing 8.9 Chapter Project 3: Encoding and Decoding 8.10 Chapter Project 4: Run
9.1 Encoding and Decoding Functions 9.2 Parameters 9.3 Chapter Project: Encoding and Decoding 9.4 Test Run
10.1 What is the Attrasoft DecisionMaker ? 10.2 Abm2 Class Library 10.3 Link to Abm2 Class Library 10.4 File Properties and Commands 10.5 Encoding and Decoding Functions 10.6 Parameters 10.7 Chapter Project 1: File IO 10.8 Chapter Project 2: Neural Computing 10.9 Chapter Project 3: Encoding and Decoding 10.10 Wisconsin Breast Cancer Database 10.11 Chapter Project 4: Run
11.1 Encoding and Decoding Methods 11.2 Parameters 11.3 Chapter Project: Encoding and Decoding 11.4 Wisconsin Breast Cancer Database 11.5 Test Run
12.1 Predictor63 Interface 12.2 Input and Output 12.3 Parameters 12.4 Link to Class Library 12.5 Prediction Buttons 12.6 Test Run
13.1 PredictorPoly63 Interface 13.2 Link to Class Library 13.3 Prediction Buttons 13.4 Test Run
14.1 DecisionMaker63 Interface 14.2 Input 14.3 Parameters 14.4 Link to Class Library 14.5 DecisionMaker Buttons 14.6 Test Run
15.1 DecisionMakerPoly63 Interface 15.2 Link to Class Library 15.3 Prediction Buttons 15.4 Test Run
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