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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… Plus…

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Sheu, Bing, Joongho Choi:
Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science) - edition reliée, livre de poche

1995

ISBN: 0792395476

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Sheu, Bing, Joongho Choi:
Neural Information Processing and VLSI (The Springer International Series in Engineering and Computer Science) - edition reliée, livre de poche

1995, ISBN: 0792395476

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

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Neural Information Processing and VLSI
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Titre:
ISBN:

0792395476


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
Livre de poche
Date de parution: 1995
Editeur: SPRINGER NATURE
584 Pages
Poids: 0,984 kg
Langue: eng/Englisch

Livre dans la base de données depuis 2007-10-21T19:41:02+02:00 (Paris)
Page de détail modifiée en dernier sur 2023-11-18T22:30:03+01:00 (Paris)
ISBN/EAN: 0792395476

ISBN - Autres types d'écriture:
0-7923-9547-6, 978-0-7923-9547-8
Autres types d'écriture et termes associés:
Auteur du livre: bing
Titre du livre: vlsi

Données de l'éditeur

Auteur: Bing J. Sheu; Joongho Choi
Titre: The Springer International Series in Engineering and Computer Science; Neural Information Processing and VLSI
Editeur: Springer; Springer US
559 Pages
Date de parution: 1995-02-28
New York; NY; US
Langue: Anglais
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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