Neural Networks and Systolic Array Designs

By: Sankar Kumar Pal (Editor), David Zhang (Editor)

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Hardcover | 1 December 2001

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Hardcover
420 Pages

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23.5 x 15.88 x 2.54

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Neural networks (NNs) and systolic arrays (SAs) have many similar features. This volume describes, in a unified way, the basic concepts, theories and characteristic features of integrating or formulating different facets of NNs and SAs, as well as presents recent developments and significant applications. The articles, written by experts from all over the world, demonstrate the various ways this integration can be made to efficiently design methodologies, algorithms and architectures, and also implementations, for NN applications. The book will be useful to graduate students and researchers in many related areas, not only as a reference book but also as a textbook for some parts of the curriculum. It will also benefit researchers and practitioners in industry and R&D laboratories who are working in the fields of system design, VLSI, parallel processing, neural networks, and vision.

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"The book is useful to graduate students and researchers in computer science, system science and electrical engineering. It has to be noticed the effort of the editors to manage a unified, coherent and accurate presentation of the book."

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Non-Fiction Computing & I.T.Computer Science Systems Analysis & Design Artificial Intelligence Neural Networks & Fuzzy Systems Engineering & Technology Electronics & Communications Engineering Electronics Engineering Circuits & Components Booktopia Publisher Services World Scientific Publishing

Preface
Neural Networks and Systolic Arrays: Models and Integration	p. 1
Systolic Array Methodology for a Neural Model to Solve the Mixture Problem	p. 23
Morphological Endmember Identification and Its Systolic Array Design	p. 47
MANTRA I: A Systolic Array for Neural Computation	p. 71
Mixed-Signal Neuro-Fuzzy Processor Implementations: Sequential Architectures and Circuit-Level Description	p. 93
CMAC Neural Networks and Systolic Implementation	p. 131
Quadrant Interlocking Factorization on Systolic and Wavefront Array Processors	p. 163
Systolic S.O.M. Neural Network for Hyperspectral Image Classification	p. 193
Optimizing and Learning Algorithm for Feedforward Neural Networks and Its Implementation by Systolic Array	p. 205
Parallel ANN Architecture for Fizzy Patterns	p. 229
Pipelined Systolic Arrays for Time-Delay Neural Networks	p. 253
An Integrated Intelligent Classification Engine (I[superscript 2]CE) for Biosignal Engineering	p. 279
Multiplierless Designs for Artificial Neural Networks	p. 301
A VLSI System for Intelligent Decision Making in Real-Time	p. 327
Reconfigurable Hardware Systolic Array for Real-Time Compartmental Modeling of Large-Scale Artificial Nervous Systems	p. 355
Implementing and Mapping ANNs on Reconfigurable Mesh Massively Parallel Architectures	p. 373
Index	p. 397
About the Editors	p. 403
Table of Contents provided by Blackwell. All Rights Reserved.

Neural Networks and Systolic Array Designs

At a Glance

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Industry Reviews

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