Neural networks for pattern recognition
"Neural Networks for Pattern Recognition takes to a new level the pioneering work in artificial neural networks by Stephen Grossberg and his colleagues. In a simple and accessible way it extends embedding field theory into areas of machine intelligence that have not been clearly dealt with befo...
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| Main Author | |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Cambridge, Mass. :
MIT Press,
c1993.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262290937 |
| Physical Description | 1 online zdroj (xvii, 413 p.) : ill. |
Cover
Table of Contents:
- Introduction
- Highlights of adaptive resonance theory
- Classifying spatial patterns
- Classifying temporal patterns
- Multilayer networks and the use of attention
- Representing synonyms
- Specific architectures that use presynaptic inhibition
- Conclusion
- A. Feedforward circuits for normalization and noise suppression
- B. Network Equations used in the simulations of chapter 3
- C. Network equations used in the simulations of chapter 4.