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Neural Information Processing and VLSI
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ISBN: 9780792395478

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 arti… mais…

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Neural Information Processing and VLSI - Bing J. Sheu
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Neural Information Processing and VLSI - encadernada, livro de bolso

ISBN: 9780792395478

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Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science) - Sheu, Bing, Joongho Choi
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Sheu, Bing, Joongho Choi:
Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science) - encadernada, livro de bolso

1995

ISBN: 0792395476

[EAN: 9780792395478], [SC: 0.0], [PU: Springer], Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the av… mais…

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Sheu, Bing, Joongho Choi:
Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science) - encadernada, livro de bolso

1995, ISBN: 0792395476

[EAN: 9780792395478], [PU: Springer], Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN … mais…

Custos de envio:Versandkostenfrei. (EUR 0.00) medimops, Berlin, Germany [55410863] [Rating: 5 (von 5)]
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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 - Livro de bolso

ISBN: 9780792395478

*Neural Information Processing and VLSI* - Auflage 1995 / gebundene Ausgabe für 203.99 € / Aus dem Bereich: Bücher, Ratgeber, Computer & Internet Medien > Bücher nein Buch (gebunden) Hard… mais…

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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.

Dados detalhados do livro - Neural Information Processing and VLSI


EAN (ISBN-13): 9780792395478
ISBN (ISBN-10): 0792395476
Livro de capa dura
Livro de bolso
Ano de publicação: 1995
Editor/Editora: SPRINGER NATURE
584 Páginas
Peso: 0,984 kg
Língua: eng/Englisch

Livro na base de dados desde 2007-10-21T15:41:02-02:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2023-11-18T18:30:03-03:00 (Sao Paulo)
Número ISBN/EAN: 0792395476

Número ISBN - Ortografia alternativa:
0-7923-9547-6, 978-0-7923-9547-8
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: bing
Título do livro: vlsi


Dados da editora

Autor: Bing J. Sheu; Joongho Choi
Título: The Springer International Series in Engineering and Computer Science; Neural Information Processing and VLSI
Editora: Springer; Springer US
559 Páginas
Ano de publicação: 1995-02-28
New York; NY; US
Língua: Inglês
160,49 € (DE)
164,99 € (AT)
177,00 CHF (CH)
Available
XIX, 559 p.

BB; Hardcover, Softcover / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Schaltkreise und Komponenten (Bauteile); Verstehen; CMOS; Routing; Signal; VLSI; analog; artificial intelligence; circuit; communication; information; information processing; model; network; neural networks; signal processing; transistor; Electronic Circuits and Systems; Complex Systems; Electrical and Electronic Engineering; Signal, Speech and Image Processing; Theoretical, Mathematical and Computational Physics; Kybernetik und Systemtheorie; Elektrotechnik; Elektronik; Digitale Signalverarbeitung (DSP); Mathematische Physik; BC

I Paradigms and Models.- 1 Introduction.- 2 Artificial Neural Network Algorithms.- 3 Other Computational Intelligence Topics.- 4 Biologically-Inspired Vision Processing.- 5 Cellular Neural Networks.- 6 Paralleled Hardware Annealing for Optimal Solutions.- II VLSI Design Technology.- 7 Design Methodologies of VLSI Neural Networks.- 8 Analog VLSI Building Blocks.- 9 Digital VLSI Neuroprocessors.- III Applications and System Prototyping.- 10 Back-Propagation Neural Networks.- 11 Self-Organization Neural Networks.- 12 Advanced Vision Chips and Systems.- 13 Photonic Neural Networks.- 14 Smart-Pixel, Cellular Neural Network, and Chaotic Chips.- 15 Various Subsystem and System Construction Examples.- 16 Selected Commercial Products From Industry.- References.

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