Self-Organization and Associative Memory

Self-Organization and Associative Memory
Author: Teuvo Kohonen
Publisher: Springer Science & Business Media
Total Pages: 325
Release: 2012-12-06
Genre: Medical
ISBN: 3642881637

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While the present edition is bibliographically the third one of Vol. 8 of the Springer Series in Information Sciences (IS 8), the book actually stems from Vol. 17 of the series Communication and Cybernetics (CC 17), entitled Associative Memory - A System-Theoretical Approach, which appeared in 1977. That book was the first monograph on distributed associative memories, or "content-addressable memories" as they are frequently called, especially in neural-networks research. This author, however, would like to reserve the term "content-addressable memory" for certain more traditional constructs, the memory locations of which are selected by parallel search. Such devices are discussed in Vol. 1 of the Springer Series in Information Sciences, Content-Addressable Memories. This third edition of IS 8 is rather similar to the second one. Two new discussions have been added: one to the end of Chap. 5, and the other (the L VQ 2 algorithm) to the end of Chap. 7. Moreover, the convergence proof in Sect. 5.7.2 has been revised.

Self-organization and Associative Memory

Self-organization and Associative Memory
Author: Teuvo Kohonen
Publisher: Springer Science & Business Media
Total Pages: 255
Release: 1984
Genre: Associative storage
ISBN: 9783540121657

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Self-Organization and Associative Memory

Self-Organization and Associative Memory
Author: Teuvo Kohonen
Publisher: Springer
Total Pages: 325
Release: 2012-12-06
Genre: Science
ISBN: 3662007843

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Two significant things have happened since the writing of the first edition in 1983. One of them is recent arousal of strong interest in general aspects of "neural computing", or "neural networks", as the previous neural models are nowadays called. The incentive, of course, has been to develop new com puters. Especially it may have been felt that the so-called fifth-generation computers, based on conventional logic programming, do not yet contain in formation processing principles of the same type as those encountered in the brain. All new ideas for the "neural computers" are, of course, welcome. On the other hand, it is not very easy to see what kind of restrictions there exist to their implementation. In order to approach this problem systematically, cer tain lines of thought, disciplines, and criteria should be followed. It is the pur pose of the added Chapter 9 to reflect upon such problems from a general point of view. Another important thing is a boom of new hardware technologies for dis tributed associative memories, especially high-density semiconductor circuits, and optical materials and components. The era is very close when the parallel processors can be made all-optical. Several working associative memory archi tectures, based solely on optical technologies, have been constructed in recent years. For this reason it was felt necessary to include a separate chapter (Chap. 10) which deals with the optical associative memories. Part of its con tents is taken over from the first edition.

Self-Organization in Optical Systems and Applications in Information Technology

Self-Organization in Optical Systems and Applications in Information Technology
Author: Mikhail A. Vorontsov
Publisher: Springer Science & Business Media
Total Pages: 258
Release: 2012-12-06
Genre: Science
ISBN: 3642975259

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Contrary to monographs on non-linear optics this book concentrates on problems of self-organization in various important contexts. The reader learns how patterns in non-linear optical systems are created and what theoretical methods can be applied to describe them. Next, various aspects of pattern formation such as associative memory, information processing, spatio-temporal instability, photo refraction, and so on are treated. The book addresses graduate students and researchers in physics and optical engineering.

Microcomputer Application in Process Control

Microcomputer Application in Process Control
Author: E. Adali
Publisher: Elsevier
Total Pages: 279
Release: 2014-06-28
Genre: Computers
ISBN: 1483298930

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This symposium brings together the research from different disciplines of process control, and discusses the problems encountered in the application of automation systems. The papers in this volume analyze the results of theoretical research and how far applications have been developed, new design methodologies and technologies, to give a comprehensive overview of the state of the art of this fast-developing science.

Advances In Intelligent Control

Advances In Intelligent Control
Author: C J Harris
Publisher: CRC Press
Total Pages: 384
Release: 1994-03-11
Genre: Technology & Engineering
ISBN: 9780748400669

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"Advances in intelligent Control" is a collection of essays covering the latest research in the field. Based on a special issue of "The International Journal of Control", the book is arranged in two parts. Part one contains recent contributions of artificial neural networks to modelling and control. Part two concerns itself primarily with aspects of fuzzy logic in intelligent control, guidance and estimation, although some of the contributions either make direct equivalence relationships to neural networks or use hybrid methods where a neural network is used to develop the fuzzy rule base.

Applications of Self-Organizing Maps

Applications of Self-Organizing Maps
Author: Magnus Johnsson
Publisher: BoD – Books on Demand
Total Pages: 302
Release: 2012-11-21
Genre: Computers
ISBN: 953510862X

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The self-organizing map, first described by the Finnish scientist Teuvo Kohonen, can by applied to a wide range of fields. This book is about such applications, i.e. how the original self-organizing map as well as variants and extensions of it can be applied in different fields. In fourteen chapters, a wide range of such applications is discussed. To name a few, these applications include the analysis of financial stability, the fault diagnosis of plants, the creation of well-composed heterogeneous teams and the application of the self-organizing map to the atmospheric sciences.

Iterative Learning Control for Deterministic Systems

Iterative Learning Control for Deterministic Systems
Author: Kevin L. Moore
Publisher: Springer Science & Business Media
Total Pages: 158
Release: 2012-12-06
Genre: Technology & Engineering
ISBN: 1447119126

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The material presented in this book addresses the analysis and design of learning control systems. It begins with an introduction to the concept of learning control, including a comprehensive literature review. The text follows with a complete and unifying analysis of the learning control problem for linear LTI systems using a system-theoretic approach which offers insight into the nature of the solution of the learning control problem. Additionally, several design methods are given for LTI learning control, incorporating a technique based on parameter estimation and a one-step learning control algorithm for finite-horizon problems. Further chapters focus upon learning control for deterministic nonlinear systems, and a time-varying learning controller is presented which can be applied to a class of nonlinear systems, including the models of typical robotic manipulators. The book concludes with the application of artificial neural networks to the learning control problem. Three specific ways to neural nets for this purpose are discussed, including two methods which use backpropagation training and reinforcement learning. The appendices in the book are particularly useful because they serve as a tutorial on artificial neural networks.