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  • 1
    Online Resource
    Online Resource
    New York :Academic Press,
    UID:
    almahu_9947367303002882
    Format: 1 online resource (317 p.)
    ISBN: 1-282-28859-8 , 9786612288593 , 0-08-095582-7
    Series Statement: Mathematics in science and engineering ; v. 73
    Uniform Title: Adaptat Łsii Ła i obuchenie v avtomaticheskikh sistemakh.
    Content: Adaptation and learning in automatic systems
    Note: Description based upon print version of record. , Front Cover; Adaptation and Learning in Automatic Systems; Copyright Page; Contents; Foreword; Preface to the English Edition; Preface to the Russian Edition; Introduction; Chapter 1. Problem of Optimality; 1.1 Introduction; 1.2 Criteria of Optimality; 1.3 More about the Criteria of Optimality; 1.4 Constraints; 1.5 A Priori and Current Information; 1.6 Deterministic and Stochastic Processes; 1.7 The Ordinary and Adaptive Approaches; 1.8 On Methods for Solving Optimization Problems; 1.9 Conclusion; Comments; Bibliography; Chapter 2. Algorithmic Methods of Optimization; 2.1 Introduction , 2.2 Conditions of Optimality2.3 Regular Iterative Method; 2.4 Algorithms of Optimization; 2.5 A Possible Generalization; 2.6 Various Algorithms of Optimization; 2.7 Search Algorithms of Optimization; 2.8 Constraints I; 2.9 Constraints II; 2.10 The Method of Feasible Directions; 2.11 Discussion; 2.12 Multistage Algorithms of Optimization; 2.13 Continuous Algorithms of Optimization; 2.14 Methods of Random Search; 2.15 Convergence and Stability; 2.16 The Conditions of Convergence; 2.17 On Acceleration of Convergence; 2.18 On Best Algorithms; 2.19 Examples; 2.20 Certain Problems; 2.21 Conclusion , CommentsBibliography; Chapter 3. Adaptation and Learning; 3.1 Introduction; 3.2 Concepts of Learning, Self-Learning and Adaptation; 3.3 Formulation of the Problem; 3.4 Probabilistic Iterative Methods; 3.5 Algorithms of Adaptation; 3.6 Search Algorithms of Adaptation; 3.7 Constraints I; 3.8 Constraints II; 3.9 A Generalization; 3.10 Multistage Algorithms of Adaptation; 3.11 Continuous Algorithms; 3.12 Probabilistic Convergence and Stability; 3.13 Conditions of Convergence; 3.14 Stopping Rules; 3.15 Acceleration of Convergence; 3.16 Measure of Quality for the Algorithms , 3.17 The Best Algorithms3.18 Simplified Best Algorithms; 3.19 A Special Case; 3.20 Relationship to the Least-Square Method; 3.21 Relationship to the Bayesian Approach; 3.22 Relationship to the Maximum Likelihood Method; 3.23 Discussion; 3.24 Certain Problems; 3.25 Conclusion; Comments; Bibliography; Chapter 4. Pattern Recognition; 4.1 Introduction; 4.2 Discussion of the Pattern Recognition Problem; 4.3 Formulation of the Problem; 4.4 General Algorithms of Training; 4.5 Convergence of the Algorithms; 4.6 Perceptrons; 4.7 Discrete Algorithms of Training; 4.8 Search Algorithms of Training , 4.9 Continuous Algorithms of Training4.10 Comments; 4.11 More about Another General Algorithm of Training; 4.12 Special Cases; 4.13 Discussion; 4.14 Self-Learning; 4.15 The Restoration of Probability Density Functions and Moments; 4.16 Algorithms of Restoration; 4.17 Principle of Self-Learning; 4.18 Average Risk; 4.19 Variation of the Average Risk; 4.20 The Conditions for the Minimum of the Average Risk; 4.21 Algorithms of Self-Learning; 4.22 A Generalization; 4.23 Specific Algorithms; 4.24 Search Algorithms of Self-Learning; 4.25 Discussion; 4.26 Certain Problems; 4.27 Conclusion; Comments , Bibliography , English
    Additional Edition: ISBN 0-12-702050-0
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    gbv_1684910161
    Format: 1 online resource (xix, 291 p.) , Online-Ressource , ill
    Edition: Online-Ausg.] Elsevier e-book collection on ScienceDirect
    ISBN: 0080955827 , 9780080955827 , 9780127020501
    Series Statement: Mathematics in science and engineering v. 73
    Uniform Title: Adaptat︠s︡ii︠a︡ i obuchenie v avtomaticheskikh sistemakh. 〈engl.〉
    Note: Description based on print version record
    Additional Edition: Erscheint auch als Druck-Ausgabe Cypkin, Jakov Z., 1919 - 1997 Adaptation and learning in automatic systems New York [u.a.] : Acad. Press, 1971 ISBN 0127020500
    Language: English
    Subjects: Engineering , Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Kybernetik ; Lernen ; Kybernetik ; Anpassung
    URL: Volltext  (Deutschlandweit zugänglich)
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  • 3
    Book
    Book
    New York u.a. : Acad. Press
    UID:
    b3kat_BV002625161
    Format: XIX, 291 S.
    ISBN: 0127020500
    Series Statement: Mathematics in science and engineering 73
    Uniform Title: Adaptacija i obučenie v automatičeskich sistemach
    Language: English
    Subjects: Economics , Mathematics
    RVK:
    RVK:
    Keywords: Kybernetik ; Lernen ; Kybernetik ; Anpassung ; Künstliche Intelligenz ; Informationssystem ; Anpassung ; Kybernetisches System ; Anpassung ; Kybernetisches System ; Lernen ; Informationssystem ; Lernen ; Lernendes System ; Adaptives System
    Author information: Cypkin, Jakov Z. 1919-1997
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    gbv_1618835254
    Format: XIV, 291 S. , graph. Darst.
    ISBN: 0127020500
    Series Statement: Mathematics in science and engineering 73
    Uniform Title: Adaptacija i obucenie v avtomaticeskich sistemach 〈engl.〉
    Note: Aus d. Russ. übers
    Additional Edition: Erscheint auch als Online-Ausgabe T︠S︡ypkin, I︠A︡kov Zalmanovich Adaptation and learning in automatic systems New York : Academic Press, 1971 ISBN 0080955827
    Additional Edition: ISBN 9780080955827
    Additional Edition: ISBN 9780127020501
    Language: English
    Subjects: Engineering , Economics , Mathematics
    RVK:
    RVK:
    RVK:
    Keywords: Kybernetik ; Lernen ; Kybernetik ; Anpassung
    Author information: Cypkin, Jakov Z. 1919-1997
    Library Location Call Number Volume/Issue/Year Availability
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