Neural networks : a tutorial

著者

• Nowak, Chester Michael

書誌事項

Neural networks : a tutorial

Michael Chester

PTR Prentice Hall, c1993

注記

Includes bibliographical references (p. 171-179) and index

内容説明・目次

内容説明

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.

目次

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.

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詳細情報

• NII書誌ID(NCID): BA20794385
• ISBN:
  • 0133689034
• LCCN: 93000026
• 出版国コード: us
• タイトル言語コード: eng
• 本文言語コード: eng
• 出版地: Englewood Cliffs, N.J.
• ページ数/冊数: viii, 182 p.
• 大きさ: 24 cm
• 分類:
  • LCC : QA76.87
  • DC20 : 006.3
• 件名:
  • LCSH : Neural networks (Computer science)