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Learning automata : theory and applications

Learning automata : theory and applications (Loan 3 times)

Material type
단행본
Personal Author
Najim, K. Poznyak, Alexander S.
Title Statement
Learning automata : theory and applications / Kaddour Najim and Alexander S. Poznyak.
Publication, Distribution, etc
Oxford, OX, U.K. ;   Tarrytown, N.Y., U.S.A. :   Pergamon,   1994.  
Physical Medium
xi, 225 p. : ill. ; 24 cm.
ISBN
0080420249 (hc) :
Bibliography, Etc. Note
Includes bibliographical references (p. 206-214) and index.
Subject Added Entry-Topical Term
Self-organizing systems. Artificial intelligence. Machine learning.
000 00851pamuuu200265 a 4500
001 000000475099
003 OCoLC
005 19970410151644.0
008 940520s1994 enka b 001 0 eng
010 ▼a 94019346
020 ▼a 0080420249 (hc) : ▼c $105.00
040 ▼a DLC ▼c DLC
049 ▼a ACSL ▼l 121024244
050 0 0 ▼a Q325 ▼b .N35 1994
082 0 0 ▼a 006.3/1 ▼2 20
090 ▼a 006.31 ▼b N162L
100 1 ▼a Najim, K.
245 1 0 ▼a Learning automata : ▼b theory and applications / ▼c Kaddour Najim and Alexander S. Poznyak.
260 ▼a Oxford, OX, U.K. ; ▼a Tarrytown, N.Y., U.S.A. : ▼b Pergamon, ▼c 1994.
300 ▼a xi, 225 p. : ▼b ill. ; ▼c 24 cm.
504 ▼a Includes bibliographical references (p. 206-214) and index.
650 0 ▼a Self-organizing systems.
650 0 ▼a Artificial intelligence.
650 0 ▼a Machine learning.
700 1 ▼a Poznyak, Alexander S.

Holdings Information

No. Location Call Number Accession No. Availability Due Date Make a Reservation Service
No. 1 Location Science & Engineering Library/Sci-Info(Stacks2)/ Call Number 006.31 N162L Accession No. 121024244 Availability Available Due Date Make a Reservation Service B M

Contents information

Table of Contents


CONTENTS
Contents = ⅴ
Preface = ⅸ
Notations = 1
Introduction = 3
1 basic Notions and Definitions = 6
 Introduction = 6
 1 Controlled finite system = 7
 2 Control strategies = 7
 3 Dynamic characteristics of controlled finite system = 10
 4 Classification of controlled finite systems and their structures = 11
 5 Adaptive strategies and learning automata = 15
 6 Classification of Problems of adaptive control of finite systems = 16
2 Reinforcement Schemes of Average Loss Function Minimization = 19
 Introduction = 19
 1 Adaptive control of static systems = 20
 2 Adaptive control of static systems and linear programming problem = 24
 3 Reinforcement schemes = 28
 4 Properties of reinforcement schemes = 32
3 Behaviour of Learning Automata for Different Reinforcement Schemes = 40
 Introduction = 40
 1 Reinforcement scheme of Narendra-Shapiro = 41
 2 Reinforcement scheme of Luce and Varshavskii-Vorontsova = 52
 3 Bush-Mosteller reinforcement scheme = 59
 4 Projectional stochastic approximation algorithm = 67
 Conclusion = 75
4 Multilevel Systems of Automata = 77
 Introductin = 77
 1 Hierarchical systems = 77
 2 The connection between two-level adaptive control and bilinear programming problem = 78
 3 Two-level hierarchical system of learning automata = 82
 4 Two-level hierarchical system of learning automata using a projectional stochastic approximation algorithm = 93
 5 Two-level hierarchical system with transmission of current information to the lower level = 100
 6 Multilevel hierarchical learning system = 108
 Conclusion = 119
5 Multimodal function Optimization Using Learning Automata = 120
 Introduction = 120
 1 Optimization using a single learning automata = 121
 2 Optimization using a two-level hierarchical system of learning automata = 128
 3 Optimization using a multilevel learning automata system = 136
 Conclusion = 143
6 Applications of Learning Automata = 144
 Introduction = 144
 1 Practical aspects = 148
 2 Multilevel learning control of a drying furnace = 150
 3 Hierarchical learning control of an absorption column = 163
 4 Learning control of an evaporator = 173
 5 Adaptive choice of cyclic code in communications systems = 178
 6 Optimization of multimodal functions (without constraints) = 182
 7 Optimization in presence of constraints = 186
 8 Application of learning automaton to neural network synthesis = 199
 Conclusion = 203
 Nomenclature = 204
References = 206
Appendix = 215
Index = 224


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