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Author: Tsypkin
Publisher: Academic Press
ISBN: 0080955827
Category : Mathematics
Languages : en
Pages : 317
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Book Description
Adaptation and Learning in Automatic Systems
Author: Tsypkin
Publisher: Academic Press
ISBN: 0080955827
Category : Mathematics
Languages : en
Pages : 317
Get Book Here
Book Description
Adaptation and Learning in Automatic Systems
Author: Eduard Aved'yan
Publisher: Springer Science & Business Media
ISBN: 1447130898
Category : Technology & Engineering
Languages : en
Pages : 131
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Book Description
A learning system can be defined as a system which can adapt its behaviour to become more effective at a particular task or set of tasks. It consists of an architecture with a set of variable parameters and an algorithm. Learning systems are useful in many fields, one of the major areas being in control and system identification. This work covers major aspects of learning systems: system architecture, choice of performance index and methods measuring error. Major learning algorithms are explained, including proofs of convergence. Artificial neural networks, which are an important class of learning systems and have been subject to rapidly increasing popularity, are discussed. Where appropriate, examples have been given to demonstrate the practical use of techniques developed in the text. System identification and control using multi-layer networks and CMAC (Cerebellar Model Articulation Controller) are also presented.
Author:
Publisher:
ISBN:
Category : Aeronautics
Languages : en
Pages : 692
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Author: King-Sun Fu
Publisher: Springer Science & Business Media
ISBN: 1461575664
Category : Computers
Languages : en
Pages : 350
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Book Description
This book contains the Proceedings of the US-Japan Seminar on Learning Process in Control Systems. The seminar, held in Nagoya, Japan, from August 18 to 20, 1970, was sponsored by the US-Japan Cooperative Science Program, jointly supported by the National Science Foundation and the Japan Society for the Promotion of Science. The full texts of all the presented papers except two t are included. The papers cover a great variety of topics related to learning processes and systems, ranging from pattern recognition to systems identification, from learning control to biological modelling. In order to reflect the actual content of the book, the present title was selected. All the twenty-eight papers are roughly divided into two parts--Pattern Recognition and System Identification and Learning Process and Learning Control. It is sometimes quite obvious that some papers can be classified into either part. The choice in these cases was strictly the editor's in order to keep a certain balance between the two parts. During the past decade there has been a considerable growth of interest in problems of pattern recognition and machine learn ing. In designing an optimal pattern recognition or control system, if all the a priori information about the process under study is known and can be described deterministically, the optimal system is usually designed by deterministic optimization techniques.
Author:
Publisher:
ISBN:
Category : Automatic control
Languages : en
Pages : 604
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Author:
Publisher:
ISBN:
Category : Cybernetics
Languages : en
Pages : 906
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Author: Akademii︠a︡ nauk SSSR.
Publisher:
ISBN:
Category : Power (Mechanics)
Languages : en
Pages : 1026
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Author:
Publisher:
ISBN:
Category : Weights and measures
Languages : en
Pages : 398
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Author: Nicolo Cesa-Bianchi
Publisher: Cambridge University Press
ISBN: 113945482X
Category : Computers
Languages : en
Pages : 4
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Book Description
This important text and reference for researchers and students in machine learning, game theory, statistics and information theory offers a comprehensive treatment of the problem of predicting individual sequences. Unlike standard statistical approaches to forecasting, prediction of individual sequences does not impose any probabilistic assumption on the data-generating mechanism. Yet, prediction algorithms can be constructed that work well for all possible sequences, in the sense that their performance is always nearly as good as the best forecasting strategy in a given reference class. The central theme is the model of prediction using expert advice, a general framework within which many related problems can be cast and discussed. Repeated game playing, adaptive data compression, sequential investment in the stock market, sequential pattern analysis, and several other problems are viewed as instances of the experts' framework and analyzed from a common nonstochastic standpoint that often reveals new and intriguing connections.
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ISBN:
Category : Aeronautics
Languages : en
Pages : 628
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Book Description
