Neural Networks
A Tutorial
Published on 1. July 1993
Book
Hardback
192 pages
978-0-13-368903-7 (ISBN)
Description
This book bridges the gap between the highly theoretical level of research in neural networks and the practical, analytical level encountered by those who are not specialised in the neural field. It covers the taxonomy of network paradigms and interrelates the paradigms in a systematic fashion, explores practical implementation in terms of applications and discusses neural products that are in development or on the market: chips, printed circuit boards, systems and software.
More details
Language
English
Place of publication
Upper Saddle River
United States
Publishing group
Pearson Education (US)
Target group
College/higher education
Dimensions
Height: 235 mm
Width: 155 mm
Thickness: 15 mm
Weight
400 gr
ISBN-13
978-0-13-368903-7 (9780133689037)
Copyright in bibliographic data is held by Nielsen Book Services Limited or its licensors: all rights reserved.
Schweitzer Classification
Content
1. A Structure of an Artificial Neural Network. 2. Applications of Neural Networks. 3. The Early Years. 4. The Hopfield Net. 5. Self Organizing Maps. 6. Backpropagation. 7. Learning Laws and Continued Taxonomy. 8. Adaptive Resonance Theory. 9. Bidirectional Associative Memory. 10. Variations on Neural Themes. 11. Fuzzy Theory. 12. Integrated Circuits. 13. Optical Neural Nets. 14. The Evolution of Intelligence. Appendix: Mathematical Notation. Bibliography. Index.