Overview
Part of the book series: The Springer International Series in Engineering and Computer Science (SECS, volume 304)
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Table of contents (16 chapters)
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Front Matter
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VLSI Design Technology
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Front Matter
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Applications and System Prototyping
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Front Matter
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Keywords
About this book
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 beenespecially 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.
Authors and Affiliations
Bibliographic Information
Book Title: Neural Information Processing and VLSI
Authors: Bing J. Sheu, Joongho Choi
Series Title: The Springer International Series in Engineering and Computer Science
DOI: https://doi.org/10.1007/978-1-4615-2247-8
Publisher: Springer New York, NY
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eBook Packages: Springer Book Archive
Copyright Information: Springer Science+Business Media New York 1995
Hardcover ISBN: 978-0-7923-9547-8Published: 28 February 1995
Softcover ISBN: 978-1-4613-5946-3Published: 30 September 2012
eBook ISBN: 978-1-4615-2247-8Published: 06 December 2012
Series ISSN: 0893-3405
Edition Number: 1
Number of Pages: XIX, 559
Topics: Circuits and Systems, Complex Systems, Electrical Engineering, Signal, Image and Speech Processing, Statistical Physics and Dynamical Systems