Neural networks : a comprehensive foundation

By: Haykin, SimonMaterial type: TextTextPublication details: New Delhi : Prentice Hall of India, c1999Edition: 2nd edDescription: xxi, 842 p. : illISBN: 0132733501; 9780132733502; 9788120323735Subject(s): Neural networks (Computer science)DDC classification: 004.6
Contents:
1. Introduction -- 2. Learning Processes -- 3. Single Layer Perceptrons -- 4. Multilayer Perceptrons -- 5. Radial-Basis Function Networks -- 6. Support Vector Machines -- 7. Committee Machines -- 8. Principal Components Analysis -- 9. Self-Organizing Maps -- 10. Information-Theoretic Models -- 11. Stochastic Machines And Their Approximates Rooted in Statistical Mechanics -- 12. Neurodynamic Programming -- 13. Temporal Processing Using Feedforward Networks -- 14. Neurodynamics -- 15. Dynamically Driven Recurrent Networks.
Summary: Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications
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Item type Current library Collection Call number Status Date due Barcode Item holds
Reference Books Reference Books Main Library
Reference 		Reference 004.6 HAY (Browse shelf(Opens below)) Available 008244
Total holds: 0

Includes Index

1. Introduction --
2. Learning Processes --
3. Single Layer Perceptrons --
4. Multilayer Perceptrons --
5. Radial-Basis Function Networks --
6. Support Vector Machines --
7. Committee Machines --
8. Principal Components Analysis --
9. Self-Organizing Maps --
10. Information-Theoretic Models --
11. Stochastic Machines And Their Approximates Rooted in Statistical Mechanics --
12. Neurodynamic Programming --
13. Temporal Processing Using Feedforward Networks --
14. Neurodynamics --
15. Dynamically Driven Recurrent Networks.

Introducing students to the many facets of neural networks, this text provides many case studies to illustrate their real-life, practical applications

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