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 All Attrasoft products are Y2K Compliant!
 Table of Contents
 1. Introduction 
 1.1 Neural Networks 
 1.2 Hopfield Model and Boltzmann
Machine 
 1.3 History of PolyNet 
1.3.1 ABM 1.3.2 Attrasoft Neural Applications
 1.3.3 PolyNet 1.4 Training and Recognition 1.5 Neural Network System 
 1.6 PolyNet's Version 
 2. Total Operation in 2-4
Clicks 
 2.1 Total Operation in 2-4 Clicks
 2.2 Example: Wisconsin Breast
Cancer Database 
2.2.1 Database Source 2.2.2 Training and Recognition Files
 2.2.3 Operation 2.3 The '5 by 7' Character Recognition
Problem 
2.3.1 Step 1: Training and Recognition
Files 2.3.2 Step 2: Link the Two Files
 2.3.3 Step 3: Set up PolyNet 
 2.3.4 Step 4: Running PolyNet 3. User's Guide 3.1 Step 1: Training and Recognition
File Format 
3.1.1 Examples 3.1.2 To Make A Long Story short
 3.1.3 The Details 
 3.1.4 Part 1 of the Training File:
Comment Section 
 3.1.5 Part 2 of the Training File:
Number of Neurons 
 3.1.6 Part 3 of the Training File:
Data Section 
 3.1.7 Part 1 of the Recognition File:
Comment Section
 3.1.8 Part 2 of the Recognition File:
Data Section 3.2 Step 2: Link Input Files To PolyNet 3.3 Step 3: Set up PolyNet 
3.3.1 Position of a Digit in a
String 3.3.2 Output File Format 
 3.3.3 Symmetry 
 3.3.4 Setup Symmetry Parameters 
 3.3.5 Symmetry Selections 3.4 Step 4: Run 3.5 Test Input File Format 
 3.6 1-Neuron-1-Class Classifications
 3.7 Training, Retraining and Recognition
 3.8 Binary Boltzmann Machine 
 3.9 Common Errors 
 4. Symmetry 
 4.1 Linear Scaling Symmetry 
4.1.1 Liner Scaling Symmetry 4.1.2 Internal Parameters for Scaling
Symmetries 
 4.1.3 One-dimension Scaling Symmetry
Example 
 4.1.4 2D Scaling Symmetry Example
4.2 Rotation Symmetry 
4.2.1 Rotation Symmetries 4.2.2 Rotation and Scaling Symmetries
 4.2.3 Internal Parameters for Rotation
Symmetries 
 4.2.4 Rotation Examples in PolyNet
5. Examples 5.1 Character Recognition 
5.1.1 Character Generation 5.1.2 19x19 Character Recognition
(1,023 Classes) 
 5.1.3 32 by 32 Character Recognition
 5.1.4 19x19 Character Recognition
(4,095 classes) 
 5.1.5 50x50 and 100x100 Image Recognition
5.2 Shifter 
5.2.1 Shifter Problem 5.2.2 Single Shifter 
 5.2.3 Double Shifter 5.3 Nursery School Database 5.4 Mathematical Probabilities
and Functions 
 6. Command Reference and
Toolbar 
 6.1 File 
 6.2 Edit 
 6.3 Data 
 6.4 Decimal 
 6.5 Binary 
 6.6 Examples 
 6.7 Window 
 6.8 Help 
 6.9 Toolbar and Status Bar 
 
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 PolyNet 4.0
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