Libann: Table of Contents

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Table of Contents

1. Pattern Classification and Neural Networks
1.1 The Feature Vector
1.2 Classifiers
1.3 Training a Neural Network
1.3.1 Supervised and Unsupervised Learning
1.4 Performance of Neural Networks
2. Using Libann in your Programs
2.1 Namespaces
2.2 Public Header Files
2.3 Exceptions
2.4 Randomness
2.5 Compiling and Linking with Libann
3. Creating a Feature Vector
4. The Networks
4.1 Persisting the Network
4.2 Kohonen Networks
4.3 Multi-Layer Perceptron Networks
4.3.1 Creating the Network
4.3.2 FeatureMap
4.4 Hopfield Networks
4.5 The Boltzmann Machine
5. Miscellaneous Features
5.1 Version Number
5.2 Logging
A. Example Programs
A.1 Natural Language Selection Using a Kohonen Network
A.2 Character Recognition using a Multi-Layer Perceptron
A.3 Style Classification using a Multi-Layer Perceptron
A.4 Hopfield Network
A.5 The Boltzmann Machine as a Classifier
B. Copying
B.1 GNU Free Documentation License
B.1.1 ADDENDUM: How to use this License for your documents

This document was generated by John Darrington on May, 15 2003 using texi2html

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