Adaptation and learning in automatic systems /
Adaptation and learning in automatic systems.
Clasificación: | Libro Electrónico |
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Autor principal: | |
Formato: | Electrónico eBook |
Idioma: | Inglés Ruso |
Publicado: |
New York :
Academic Press,
1971.
|
Colección: | Mathematics in science and engineering ;
v. 73. |
Temas: | |
Acceso en línea: | Texto completo Texto completo Texto completo |
MARC
LEADER | 00000cam a2200000 a 4500 | ||
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001 | SCIDIR_ocn316563858 | ||
003 | OCoLC | ||
005 | 20231117015229.0 | ||
006 | m o d | ||
007 | cr cnu---unuuu | ||
008 | 090320s1971 nyua ob 001 0 eng d | ||
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020 | |a 9780127020501 |q (electronic bk.) | ||
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041 | 1 | |a eng |h rus | |
042 | |a dlr | ||
050 | 4 | |a TJ217 |b .T713 1971eb | |
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072 | 7 | |a GPF |2 bicssc | |
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100 | 1 | |a �T�Sypkin, �I�A. Z. |q (�I�Akov Zalmanovich) | |
240 | 1 | 0 | |a Adapta�t�si�i�a i obuchenie v avtomaticheskikh sistemakh. |l English |
245 | 1 | 0 | |a Adaptation and learning in automatic systems / |c Ya. Z. Tsypkin ; rranslated by Z.J. Nikolic. |
260 | |a New York : |b Academic Press, |c 1971. | ||
300 | |a 1 online resource (xix, 291 pages) : |b illustrations | ||
336 | |a text |b txt |2 rdacontent | ||
337 | |a computer |b c |2 rdamedia | ||
338 | |a online resource |b cr |2 rdacarrier | ||
490 | 1 | |a Mathematics in science and engineering ; |v v. 73 | |
504 | |a Includes bibliographical references and index. | ||
588 | 0 | |a Print version record. | |
506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
520 | |a Adaptation and learning in automatic systems. | ||
533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
505 | 0 | |a 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 | |
505 | 8 | |a 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 | |
505 | 8 | |a 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 | |
505 | 8 | |a 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 | |
505 | 8 | |a 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 | |
650 | 0 | |a Adaptive control systems. | |
650 | 0 | |a Self-organizing systems. | |
650 | 6 | |a Syst�emes adaptatifs. |0 (CaQQLa)201-0010969 | |
650 | 6 | |a Syst�emes auto-organis�es. |0 (CaQQLa)201-0005928 | |
650 | 7 | |a TECHNOLOGY & ENGINEERING |x Automation. |2 bisacsh | |
650 | 7 | |a TECHNOLOGY & ENGINEERING |x Robotics. |2 bisacsh | |
650 | 7 | |a Adaptive control systems. |2 fast |0 (OCoLC)fst00796490 | |
650 | 7 | |a Self-organizing systems. |2 fast |0 (OCoLC)fst01111791 | |
776 | 0 | 8 | |i Print version: |a �T�Sypkin, �I�A. Z. (�I�Akov Zalmanovich). |s Adapta�t�si�i�a i obuchenie v avtomaticheskikh sistemakh. English. |t Adaptation and learning in automatic systems. |d New York : Academic Press, 1971 |z 9780127020501 |w (DLC) 78129017 |w (OCoLC)141606 |
830 | 0 | |a Mathematics in science and engineering ; |v v. 73. | |
856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9780127020501 |z Texto completo |
856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/publication?issn=00765392&volume=73 |z Texto completo |
856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/bookseries/00765392/73 |z Texto completo |