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Neural networks and systolic array design /
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 applica...
| Clasificación: | Libro Electrónico |
|---|---|
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
River Edge, N.J. :
World Scientific,
©2002.
|
| Colección: | Series in machine perception and artificial intelligence ;
v. 49. |
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
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| 245 | 0 | 0 | |a Neural networks and systolic array design / |c editors, David Zhang, Sankar K. Pal. |
| 260 | |a River Edge, N.J. : |b World Scientific, |c ©2002. | ||
| 300 | |a 1 online resource (xiv, 405 pages) : |b illustrations | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Series in machine perception and artificial intelligence ; |v v. 49 | |
| 504 | |a Includes bibliographical references and index. | ||
| 505 | 0 | 0 | |g Ch. 1. |t Neural networks and systolic arrays: models and integration / |r D. Zhang and S.K. Pal -- |g Ch. 2. |t Systolic array methodology for a neural model to solve the mixture problem / |r R.M. Pérez [and others] -- |g Ch. 3. |t Morphological endmember identification and its systolic array design / |r P.L Aguilar [and others] -- |g Ch. 4. |t MANTRA I: a systolic array for neural computation / |r M.A. Viredaz and P. Ienne -- |g Ch. 5. |t Mixed-signal neuro-fuzzy processor implementations: sequential architectures and circuit-level description / |r J. Madrenas and E. Alarcón -- |g Ch. 6. |t CMAC neural networks and systolic implementation / |r B.D. Lui, Y.H. Kuo and J.S. Ker -- |g Ch. 7. |t Quadrant interlocking factorization on systolic and wavefront array processors / |r M.P. Bekakos, O.B. Efremides and D.J. Evans -- |g Ch. 8. |t Systolic S.O.M. neural network for hyperspectral image classification / |r P. Martinez [and others]. |
| 505 | 0 | 0 | |g Ch. 9. |t Optimizing and learning algorithm for feedforward neural networks and its implementation by systolic array / |r P.B. Burgos -- |g Ch. 10. |t Parallel ANN architecture for fuzzy patterns / |r D. Zhang and S.K. Pal -- |g Ch. 11. |t Pipelined systolic arrays for time-delay neural networks / |r D. Zhang and S.K. Pal -- |g Ch. 12. |t An integrated intelligent classification engine (I[superscript 2]CE for biosignal engineering / |r A.N. Kastania and M.P. Bekakos -- |g Ch. 13. |t Multiplierless designs for artificial neural networks / |r H.K. Kwan -- |g Ch. 14. |t A VLSI system for intelligent decision making in real-time / |r N. Ranganathan and M.I. Patel -- |g Ch. 15. |t Reconfigurable hardware systolic array for real-time compartmental modeling of large-scale artificial nervous systems / |r M. Korkin -- |g Ch. 16. |t Implementing and mapping ANNs on reconfigurable mesh massively parallel architectures / |r W.N. Li and J.J. Jenq. |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 546 | |a English. | ||
| 590 | |a eBooks on EBSCOhost |b EBSCO eBook Subscription Academic Collection - Worldwide | ||
| 650 | 0 | |a Neural networks (Computer science) | |
| 650 | 0 | |a Systolic array circuits |x Design and construction. | |
| 650 | 2 | |a Neural Networks, Computer | |
| 650 | 6 | |a Réseaux neuronaux (Informatique) | |
| 650 | 7 | |a COMPUTERS |x Neural Networks. |2 bisacsh | |
| 650 | 7 | |a Neural networks (Computer science) |2 fast | |
| 650 | 7 | |a Systolic array circuits |x Design and construction |2 fast | |
| 700 | 1 | |a Zhang, David, |d 1949- | |
| 700 | 1 | |a Pal, Sankar K. | |
| 776 | 0 | 8 | |i Print version: |t Neural networks and systolic array design. |d River Edge, N.J. : World Scientific, ©2002 |z 9810248407 |w (DLC) 2005297912 |w (OCoLC)50701826 |
| 830 | 0 | |a Series in machine perception and artificial intelligence ; |v v. 49. | |
| 856 | 4 | 0 | |u https://ebsco.uam.elogim.com/login.aspx?direct=true&scope=site&db=nlebk&AN=514253 |z Texto completo |
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