Description 
1 online resource (xiv, 405 pages) : illustrations 
Series 
Series in machine perception and artificial intelligence ; v. 49 

Series in machine perception and artificial intelligence ; v. 49.

Contents 
Ch. 1. Neural networks and systolic arrays: models and integration / D. Zhang and S.K. Pal  Ch. 2. Systolic array methodology for a neural model to solve the mixture problem / R.M. Pérez [and others]  Ch. 3. Morphological endmember identification and its systolic array design / P.L Aguilar [and others]  Ch. 4. MANTRA I: a systolic array for neural computation / M.A. Viredaz and P. Ienne  Ch. 5. Mixedsignal neurofuzzy processor implementations: sequential architectures and circuitlevel description / J. Madrenas and E. Alarcón  Ch. 6. CMAC neural networks and systolic implementation / B.D. Lui, Y.H. Kuo and J.S. Ker  Ch. 7. Quadrant interlocking factorization on systolic and wavefront array processors / M.P. Bekakos, O.B. Efremides and D.J. Evans  Ch. 8. Systolic S.O.M. neural network for hyperspectral image classification / P. Martinez [and others] 

Ch. 9. Optimizing and learning algorithm for feedforward neural networks and its implementation by systolic array / P.B. Burgos  Ch. 10. Parallel ANN architecture for fuzzy patterns / D. Zhang and S.K. Pal  Ch. 11. Pipelined systolic arrays for timedelay neural networks / D. Zhang and S.K. Pal  Ch. 12. An integrated intelligent classification engine (I[superscript 2]CE for biosignal engineering / A.N. Kastania and M.P. Bekakos  Ch. 13. Multiplierless designs for artificial neural networks / H.K. Kwan  Ch. 14. A VLSI system for intelligent decision making in realtime / N. Ranganathan and M.I. Patel  Ch. 15. Reconfigurable hardware systolic array for realtime compartmental modeling of largescale artificial nervous systems / M. Korkin  Ch. 16. Implementing and mapping ANNs on reconfigurable mesh massively parallel architectures / W.N. Li and J.J. Jenq 
Summary 
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 
Bibliography 
Includes bibliographical references and index 
Notes 
English 

Print version record 
Subject 
Neural networks (Computer science)


Systolic array circuits  Design and construction


Neural Networks, Computer


COMPUTERS  Neural Networks.


Neural networks (Computer science)


Systolic array circuits  Design and construction

Form 
Electronic book

Author 
Zhang, David, 1949


Pal, Sankar K

ISBN 
9789812778086 

981277808X 

1281929891 

9781281929891 

9786611929893 

6611929894 
