Pattern recognition with neural networks in C++
The addition of artificial neural network computing to traditional pattern recognition has given rise to a new, different, and more powerful methodology that is presented in this interesting book. This is a practical guide to the application of artificial neural networks. Geared toward the practitio...
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| Format: | Book |
| Language: | English |
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Boca Rotan, Fla.
CRC Press
1996
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Table of Contents:
- Ch. 1 Introduction
- Ch. 2 Neural networks: an overview
- Ch. 3 Preprocessing
- Ch. 4 Feed-forward networks with supervised learning
- Ch. 5 Some other types of neural networks
- Ch. 6 Feature extraction I: geometric features and transformations
- Ch. 7 Feature extraction II: principal component analysis
- Ch. 8 Kohonen networks and learning vector quantization
- Ch. 9 Neural associative memories and Hopfield networks
- Ch. 10 Adaptive resonance theory (ART)
- Ch. 11 Neocognitron
- Ch. 12 Systems with multiple classifiers
- Index.