Neural networks : a comprehensive foundation / Simon Haykin.
By: Haykin, Simon S
.
Material type: ![materialTypeLabel](/opac-tmpl/lib/famfamfam/BK.png)
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Item type | Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
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General Lending | MTU Bishopstown Library Lending | 006.3 (Browse shelf(Opens below)) | 1 | Available | 00018455 |
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Enhanced descriptions from Syndetics:
Chapters include introductions, problems sets, computer experiments, and worked examples. Topics include the learning process, back-propagation learning, multilayer preceptrons, Hebbian learning, competitive learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks. Member price, $55.95. Annotation c. by Book News, Inc., Portland, Or.
Bibliography: (pages 635-690) and index.
Introduction -- Learning process -- Correlation matrix memory -- The perceptron -- Least-mean-square algorithm -- Multilayer perceptrons -- Radial-basis function networks -- Recurrent networks rooted in statistical physics -- Self-organizing systems I: Hebbian learning -- Self-organizing systems II: Competitive learning -- Self-organizing systems III: Information-theoretic models -- Modular networks -- Temporal processing -- Neurodynamics -- VLSI implementations of neural networks.