Adaptation and Learning in Automatic Systems PDF Download

Author: Tsypkin
Publisher: Academic Press
ISBN: 0080955827
Category : Mathematics
Languages : en
Pages : 317

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Adaptation and Learning in Automatic Systems

Author: Chiong, Raymond
Publisher: IGI Global
ISBN: 1605667994
Category : Business & Economics
Languages : en
Pages : 359

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Book Description
"This volume offers intriguing applications, reviews and additions to the methodology of intelligent computing, presenting the emerging trends of state-of-the-art intelligent systems and their practical applications"--Provided by publisher.

Author: I͡Akov Zalmanovich T͡Sypkin
Publisher:
ISBN: 9781282288591
Category : Technology & Engineering
Languages : en
Pages : 291

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Book Description
Adaptation and learning in automatic systems

Author: I︠A︡kov Zalmanovich T︠S︡ypkin
Publisher:
ISBN:
Category : Technology & Engineering
Languages : en
Pages : 328

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Book Description
Adaptation and learning in automatic systems.

Author: John H. Holland
Publisher: MIT Press
ISBN: 9780262581110
Category : Psychology
Languages : en
Pages : 236

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Book Description
Genetic algorithms are playing an increasingly important role in studies of complex adaptive systems, ranging from adaptive agents in economic theory to the use of machine learning techniques in the design of complex devices such as aircraft turbines and integrated circuits. Adaptation in Natural and Artificial Systems is the book that initiated this field of study, presenting the theoretical foundations and exploring applications. In its most familiar form, adaptation is a biological process, whereby organisms evolve by rearranging genetic material to survive in environments confronting them. In this now classic work, Holland presents a mathematical model that allows for the nonlinearity of such complex interactions. He demonstrates the model's universality by applying it to economics, physiological psychology, game theory, and artificial intelligence and then outlines the way in which this approach modifies the traditional views of mathematical genetics. Initially applying his concepts to simply defined artificial systems with limited numbers of parameters, Holland goes on to explore their use in the study of a wide range of complex, naturally occuring processes, concentrating on systems having multiple factors that interact in nonlinear ways. Along the way he accounts for major effects of coadaptation and coevolution: the emergence of building blocks, or schemata, that are recombined and passed on to succeeding generations to provide, innovations and improvements.

Author:
Publisher:
ISBN:
Category :
Languages : en
Pages : 291

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Author: Vsesoi︠u︡znoe fiziologicheskoe obshchestvo imeni I.P. Pavlova
Publisher:
ISBN:
Category : Physiology
Languages : en
Pages : 340

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Author: Alexander I. Galushkin
Publisher: Springer Science & Business Media
ISBN: 3540481257
Category : Technology & Engineering
Languages : en
Pages : 396

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This book, written by a leader in neural network theory in Russia, uses mathematical methods in combination with complexity theory, nonlinear dynamics and optimization. It details more than 40 years of Soviet and Russian neural network research and presents a systematized methodology of neural networks synthesis. The theory is expansive: covering not just traditional topics such as network architecture but also neural continua in function spaces as well.

Author: Albert Benveniste
Publisher: Springer Science & Business Media
ISBN: 3642758940
Category : Mathematics
Languages : en
Pages : 373

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Book Description
Adaptive systems are widely encountered in many applications ranging through adaptive filtering and more generally adaptive signal processing, systems identification and adaptive control, to pattern recognition and machine intelligence: adaptation is now recognised as keystone of "intelligence" within computerised systems. These diverse areas echo the classes of models which conveniently describe each corresponding system. Thus although there can hardly be a "general theory of adaptive systems" encompassing both the modelling task and the design of the adaptation procedure, nevertheless, these diverse issues have a major common component: namely the use of adaptive algorithms, also known as stochastic approximations in the mathematical statistics literature, that is to say the adaptation procedure (once all modelling problems have been resolved). The juxtaposition of these two expressions in the title reflects the ambition of the authors to produce a reference work, both for engineers who use these adaptive algorithms and for probabilists or statisticians who would like to study stochastic approximations in terms of problems arising from real applications. Hence the book is organised in two parts, the first one user-oriented, and the second providing the mathematical foundations to support the practice described in the first part. The book covers the topcis of convergence, convergence rate, permanent adaptation and tracking, change detection, and is illustrated by various realistic applications originating from these areas of applications.

Author: W. W. Youden
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 392

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Book Description