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Description of  Adaptive, learning, and pattern recognition systems theory and applications, Volume 66 (Mathematics in Science and Engineering)

Table of contents : Content: Edited by 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