| Description |
xiv, 263 pages : illustrations ; 25 cm |
| Contents |
Pt. 1. Understanding and Simplifying Networks. 1. Analyzing the Internal Representations of Trained Neural Networks. 2. Information Maximization to Simplify Internal Representation. 3. Rule Extraction From Trained Artificial Neural Networks -- Pt. 2. Novel Architectures and Algorithms. 4. Pulse-Stream Techniques and Circuits for Implementing Neural Networks. 5. Cellular Neural Networks. 6. Efficient Training of Feed-Forward Neural Networks. 7. Exploiting Local Optima in Multiversion Neural Computing -- Pt. 3. Applications. 8. Neural and Neuro-Fuzzy Control Systems. 9. Image Compression using Neural Networks. 10. Oil Spill Detection: a Case Study using Recurrent Artificial Neural Networks |
| Bibliography |
Includes bibliographical references (pages 251-262) and index |
| Subject |
Neural networks (Computer science)
|
| Author |
Browne, Antony.
|
| LC no. |
97031332 |
| ISBN |
0750304995 |
|
