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This monograph gives a tutorial treatment of new approaches to self-organization, adaptation, learning and memory. It is based on recent research results, both mathematical and computer simulations, and lends itself to graduate and postgraduate courses in the natural sciences. The book presents new formalisms of pattern processing: orthogonal projectors, optimal associative mappings, novelty filters, subspace methods, feature-sensitive units, and self-organization of topological maps, with all their computable algorithms. The main objective is to provide an understanding of the properties of information representations from a general point of view and of their use in pattern information processing, as well as an understanding of many functions of the brain. In the second edition two new chapters on neural computing and optical associative memories have been added.
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Previews available in: English
Subjects
Self-organizing systems, Associative storage, Memory, Systèmes auto-organisés, Ordinateurs, Mémoires associatives, 77.35 memory (psychology), 54.72 artificial intelligence, Selbsteinstellendes System, Nervennetz, Modell, Selbst organisierendes System, Gedächtnis, Assoziativspeicher, Holographie, Reconnaissance des formes (informatique), Réseaux neuronaux (informatique), Intelligence artificielle, Cybernétique, Mémoire, Mémoires, Mustererkennung, Physics, AstrophysicsEdition | Availability |
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1
Self-organization and associative memory
1989, Springer-Verlag
in English
- 3rd ed.
0387513876 9780387513874
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2
Self-organization and associative memory
1988, Springer-Verlag
in English
- 2nd ed.
0387183140 9780387183145
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3 |
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Book Details
Edition Notes
"Bibliography on pattern recognition": p. [285]-287.
Includes bibliographical references (p. [289]-299).
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