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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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.

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.

IJCNN 2000

IJCNN 2000
Author: Shun'ichi Amari
Publisher:
Total Pages: 872
Release: 2000
Genre: Artificial intelligence
ISBN:

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Nonlinear Identification and Control

Nonlinear Identification and Control
Author: G.P. Liu
Publisher: Springer Science & Business Media
Total Pages: 224
Release: 2012-12-06
Genre: Mathematics
ISBN: 1447103459

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The purpose of this monograph is to give the broad aspects of nonlinear identification and control using neural networks. It uses a number of simulated and industrial examples throughout, to demonstrate the operation of nonlinear identification and control techniques using neural networks.

Modeling in the Neurosciences

Modeling in the Neurosciences
Author: R.R. Poznanski
Publisher: Routledge
Total Pages: 528
Release: 2019-01-22
Genre: Science
ISBN: 1351430971

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With contributions from more than 40 renowned experts, Modeling in the Neurosciences: From Ionic Channels to Neural Networks is essential for those interested in neuronal modeling and quantitative neiroscience. Focusing on new mathematical and computer models, techniques and methods, this monograph represents a cohesive and comprehensive treatment