Neural networks : a comprehensive foundation - Haykin, Simon S., 1931- (Upper Saddle River, N.J. : Prentice Hall, 1999)
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.
Includes bibliographical references (p. 796-836) and index.
Keywords: Neural networks (Computer science)