Adaptive, Learning and Pattern Recognition Systems: Theory and Applications

Content: 
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Page iii

Copyright Page
Page iv

Dedication
Page v

List of Contributors
Page vii

Preface
Pages ix-x
J.M. Mendel, K.S. Fu

1 Elements of Pattern Recognition Original Research Article
Pages 3-33
R.O. Duda

2 Statistical Pattern Recognition Original Research Article
Pages 35-79
K.S. Fu

3 Algorithms for Pattern Classification Original Research Article
Pages 81-113
R.L. Kashyap

4 Applications of Pattern Recognition Technology Original Research Article
Pages 115-162
S.S. Viglione

5 Synthesis of Quasi-Optimal Switching Surfaces by Means of Training Techniques Original Research Article
Pages 163-194
J.M. Mendel

Part I Problems
Pages 195-205

6 Gradient Identification for Linear Systems Original Research Article
Pages 209-242
J.M. Mendel

7 Adaptive Optimization Procedures Original Research Article
Pages 243-286
G.J. McMurtry

8 Reinforcement-Learning Control and Pattern Recognition Systems Original Research Article
Pages 287-318
J.M. Mendel, R.W. McLaren

Part II Problems
Pages 319-325

9 Stochastic Approximation Original Research Article
Pages 329-355
R.L. Kashyap, C.C. Blaydon, K.S. Fu

10 Applications of the Stochastic Approximation Methods Original Research Article
Pages 357-392
C.C. Blaydon, R.L. Kashyap, K.S. Fu

11 Stochastic Automata as Models of Learning Systems Original Research Article
Pages 393-431
K.S. Fu

Part III Problems
Pages 433-437

Index
Pages 439-444