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Neural Information Processing and VLSI - Bing Sheu#Joongho Choi
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Bing Sheu#Joongho Choi:
Neural Information Processing and VLSI - nouveau livre

ISBN: 9780792395478

ID: 31db331edbe1825c1bd19ebf45cf883a

Neural Information Processing and VLSI Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered. Bücher / Fremdsprachige Bücher / Englische Bücher 978-0-7923-9547-8, Springer

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Neural Information Processing and VLSI - Bing Sheu#Joongho Choi
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Bing Sheu#Joongho Choi:
Neural Information Processing and VLSI - nouveau livre

ISBN: 9780792395478

ID: 223350492

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered. Neural Information Processing and VLSI Bücher > Fremdsprachige Bücher > Englische Bücher gebundene Ausgabe 28.02.1995 Buch (fremdspr.), Springer, .199

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Neural Information Processing and VLSI - Sheu, Bing J. Joongho Choi
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Sheu, Bing J. Joongho Choi:
Neural Information Processing and VLSI - edition reliée, livre de poche

ISBN: 9780792395478

[ED: Hardcover], [PU: Springer, Berlin], Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered. xix, 559 S. XIX, 559 p. 235 mm Versandfertig in über 4 Wochen, [SC: 0.00], Neuware, gewerbliches Angebot

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Neural Information Processing and VLSI - Bing J. Sheu; Joongho Choi
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Bing J. Sheu; Joongho Choi:
Neural Information Processing and VLSI - nouveau livre

ISBN: 9780792395478

ID: 9780792395478

Engineering; Circuits and Systems; Complex Systems; Electrical Engineering; Signal, Image and Speech Processing; Statistical Physics and Dynamical Systems CMOS, Routing, Signal, VLSI, analog, artificial intelligence, circuit, communication, information, information processing, model, network, neural networks, signal processing, transistor Books Book, Springer Science+Business Media

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Neural Information Processing and VLSI - Bing J. Sheu
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Bing J. Sheu:
Neural Information Processing and VLSI - edition reliée, livre de poche

ISBN: 9780792395478

Hardback, [PU: Springer], Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques., Neural Networks & Fuzzy Systems

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Détails sur le livre
Neural Information Processing and VLSI

Neural Information Processing and VLSI provides a unified treatment of this important subject for use in classrooms, industry, and research laboratories, in order to develop advanced artificial and biologically-inspired neural networks using compact analog and digital VLSI parallel processing techniques. Neural Information Processing and VLSI systematically presents various neural network paradigms, computing architectures, and the associated electronic/optical implementations using efficient VLSI design methodologies. Conventional digital machines cannot perform computationally-intensive tasks with satisfactory performance in such areas as intelligent perception, including visual and auditory signal processing, recognition, understanding, and logical reasoning (where the human being and even a small living animal can do a superb job). Recent research advances in artificial and biological neural networks have established an important foundation for high-performance information processing with more efficient use of computing resources. The secret lies in the design optimization at various levels of computing and communication of intelligent machines. Each neural network system consists of massively paralleled and distributed signal processors with every processor performing very simple operations, thus consuming little power. Large computational capabilities of these systems in the range of some hundred giga to several tera operations per second are derived from collectively parallel processing and efficient data routing, through well-structured interconnection networks. Deep-submicron very large-scale integration (VLSI) technologies can integrate tens of millions of transistors in a single silicon chip for complex signal processing and information manipulation. The book is suitable for those interested in efficient neurocomputing as well as those curious about neural network system applications. It has been especially prepared for use as a text for advanced undergraduate and first year graduate students, and is an excellent reference book for researchers and scientists working in the fields covered.

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EAN (ISBN-13): 9780792395478
ISBN (ISBN-10): 0792395476
Version reliée
Date de parution: 1995
Editeur: SPRINGER VERLAG GMBH
584 Pages
Poids: 0,984 kg
Langue: eng/Englisch

Livre dans la base de données depuis 21.10.2007 19:41:02
Livre trouvé récemment le 07.11.2017 10:56:16
ISBN/EAN: 0792395476

ISBN - Autres types d'écriture:
0-7923-9547-6, 978-0-7923-9547-8


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