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Download the fantastic book titled Neural Information Processing and VLSI written by Bing J. Sheu, available in its entirety in both PDF and EPUB formats for online reading. This page includes a concise summary, a preview of the book cover, and detailed information about "Neural Information Processing and VLSI", which was released on 06 December 2012. We suggest perusing the summary before initiating your download. This book is a top selection for enthusiasts of the Technology & Engineering genre.

Summary of Neural Information Processing and VLSI by Bing J. Sheu PDF

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.


Detail About Neural Information Processing and VLSI PDF

  • Author : Bing J. Sheu
  • Publisher : Springer Science & Business Media
  • Genre : Technology & Engineering
  • Total Pages : 569 pages
  • ISBN : 1461522471
  • PDF File Size : 39,8 Mb
  • Language : English
  • Rating : 4/5 from 21 reviews

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Neural Information Processing and VLSI

Neural Information Processing and VLSI
  • Publisher : Springer Science & Business Media
  • File Size : 50,6 Mb
  • Release Date : 06 December 2012
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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

Advances in Neural Information Processing Systems 7

Advances in Neural Information Processing Systems 7
  • Publisher : MIT Press
  • File Size : 34,9 Mb
  • Release Date : 01 March 1995
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November 28-December 1, 1994, Denver, Colorado NIPS is the longest running annual meeting devoted to Neural Information Processing Systems. Drawing on such disparate domains as neuroscience, cognitive science, computer science, statistics, mathematics,

Advances in Neural Information Processing Systems 16

Advances in Neural Information Processing Systems 16
  • Publisher : MIT Press
  • File Size : 36,9 Mb
  • Release Date : 29 February 2024
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Papers presented at the 2003 Neural Information Processing Conference by leading physicists, neuroscientists, mathematicians, statisticians, and computer scientists. The annual Neural Information Processing (NIPS) conference is the flagship meeting on neural

Analog VLSI

Analog VLSI
  • Publisher : McGraw-Hill Companies
  • File Size : 27,8 Mb
  • Release Date : 01 March 1994
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This book presents the first comprehensive treatment of analog VLSI design for signal and information processing applications by blending the basic design concepts of both traditional and contemporary analog VLSI.

Advances in Neural Information Processing Systems

Advances in Neural Information Processing Systems
  • Publisher : MIT Press
  • File Size : 44,9 Mb
  • Release Date : 01 September 2002
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The proceedings of the 2001 Neural Information Processing Systems (NIPS) Conference. The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary,

Advances in Neural Information Processing Systems 11

Advances in Neural Information Processing Systems 11
  • Publisher : MIT Press
  • File Size : 23,8 Mb
  • Release Date : 01 March 1999
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The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. It draws preeminent academic researchers from around the world and is widely considered to

Advances in Neural Information Processing Systems 19

Advances in Neural Information Processing Systems 19
  • Publisher : MIT Press
  • File Size : 55,7 Mb
  • Release Date : 29 February 2024
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The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation and machine learning. This volume contains the papers presented at the December 2006 meeting, held in

Advances in Neural Information Processing Systems 17

Advances in Neural Information Processing Systems 17
  • Publisher : MIT Press
  • File Size : 51,9 Mb
  • Release Date : 29 February 2024
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Papers presented at NIPS, the flagship meeting on neural computation, held in December 2004 in Vancouver.The annual Neural Information Processing Systems (NIPS) conference is the flagship meeting on neural computation.

Advances in Neural Information Processing Systems 13

Advances in Neural Information Processing Systems 13
  • Publisher : MIT Press
  • File Size : 27,8 Mb
  • Release Date : 29 February 2024
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The proceedings of the 2000 Neural Information Processing Systems (NIPS) Conference.The annual conference on Neural Information Processing Systems (NIPS) is the flagship conference on neural computation. The conference is interdisciplinary,