VLSI for Neural Networks and Artificial Intelligence

VLSI for Neural Networks and Artificial Intelligence

Paperback(Softcover reprint of the original 1st ed. 1994)

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Product Details

ISBN-13: 9781489913333
Publisher: Springer US
Publication date: 06/10/2013
Edition description: Softcover reprint of the original 1st ed. 1994
Pages: 320
Product dimensions: 6.10(w) x 9.25(h) x 0.03(d)

Table of Contents

Analog Circuits for Neural Networks: Analog VLSI Neural Learning Circuits (H.C. Card). An Analog CMOS Implementation of a Kohonen Network with Learning Capability (O. Landolt). BackPropagation Learning Algorithms for Analog VLSI Implementation (M. Valle et al.). Digital Implementations of Neural Networks: A VLSI Pipelined Neuroemulator (J.G. DelgadoFrias et al.). A Low Latency Digital Neural Network Architecture (W. Fornaciari, F. Salice). The MANTRA Project (M.A. Viredaz et al.). Neural Networks on Multiprocessor Systems and Applications: VLSIImplementation of Associative Memory Systems for Neural Information Processing (A. König, M. Glesner). A Dataflow Approach for Neural Networks (J.G. DelgadoFrias et al.). Knowledge Processing in Neural Architechture (U. Rückert et al.). VLSI Machines for Artificial Intelligence: Hardware Support for Data Parallelism in Production Systems (S.H. Lavington et al.). SPACE (K. Asanovic, D.B. Howe). 19 additional articles. Index.

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