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Books > Computing & IT > Computer hardware & operating systems > Computer architecture & logic design
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VLSI for Neural Networks and Artificial Intelligence (Hardcover, 1994 ed.)
Loot Price: R4,188
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VLSI for Neural Networks and Artificial Intelligence (Hardcover, 1994 ed.)
Expected to ship within 18 - 22 working days
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Neural network and artificial intelligence algorithrns and
computing have increased not only in complexity but also in the
number of applications. This in turn has posed a tremendous need
for a larger computational power that conventional scalar
processors may not be able to deliver efficiently. These processors
are oriented towards numeric and data manipulations. Due to the
neurocomputing requirements (such as non-programming and learning)
and the artificial intelligence requirements (such as symbolic
manipulation and knowledge representation) a different set of
constraints and demands are imposed on the computer
architectures/organizations for these applications. Research and
development of new computer architectures and VLSI circuits for
neural networks and artificial intelligence have been increased in
order to meet the new performance requirements. This book presents
novel approaches and trends on VLSI implementations of machines for
these applications. Papers have been drawn from a number of
research communities; the subjects span analog and digital VLSI
design, computer design, computer architectures, neurocomputing and
artificial intelligence techniques. This book has been organized
into four subject areas that cover the two major categories of this
book; the areas are: analog circuits for neural networks, digital
implementations of neural networks, neural networks on
multiprocessor systems and applications, and VLSI machines for
artificial intelligence. The topics that are covered in each area
are briefly introduced below.
General
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