Adaptive, Learning, And Pattern Recognition Systems Theory And Applications, Volume 66 (mathematics In Science And Engineering)
by Mendel /
1970 / English / PDF
5.2 MB Download
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
