Neural network learning and expert systems
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| Main Author | |
|---|---|
| Format | eBook |
| Language | English |
| Published |
Cambridge, Mass. :
MIT Press,
c1993.
|
| Subjects | |
| Online Access | Full text |
| ISBN | 9780262273404 |
| Physical Description | 1 online zdroj (xvi, 365 p.) : ill. |
Cover
Table of Contents:
- 1. Introduction and important definitions
- 2. Representation issues
- 3. Perceptron learning and the pocket algorithm
- 4. Winner-take-all groups or linear machines
- 5. Autoassociators and one-shot learning
- 6. Mean squared error (MSE) algorithms
- 7. Unsupervised learning
- 8. The distributed method and radial basis functions
- 9. Computational learning theory and the BRD algorithm
- 10. Constructive algorithms
- 11. Backpropagation
- 12. Backpropagation : variations and applications
- 13. Simulated annealing and boltzmann machines
- 14. Expert systems and neural networks
- 15. Details of the MACIE system
- 16. Noise, redundancy, fault detection, and bayesian decision theory
- 17. Extracting rules from networks.