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Neural computing architectures :the design of brain-like machines

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"McClelland and Rumelhart's Parallel Distributed Processing was the first book to present a definitive account of the newly revived connectionist/neural net paradigm for artificial intelligence and cognitive science. While Neural Computing Architectures addresses the same issues, there is little overlap in the research it reports. These 18 contributions provide a timely and informative overview and synopsis of both pioneering and recent European connectionist research. Several chapters focus on cognitive modeling; however, most of the work covered revolves around abstract neural network theory or engineering applications, bringing important complementary perspectives to currently published work in PDP.In four parts, chapters take up neural computing from the classical perspective, including both foundational and current work; the mathematical perspective (of logic, automata theory, and probability theory), presenting less well-known work in which the neuron is modeled as a logic truth function that can be implemented in a direct way as a silicon read only memory. They present new material both in the form of analytical tools and models and as suggestions for implementation in optical form, and summarize the PDP perspective in a single extended chapter covering PDP theory, application, and speculation in US research. Each part is introduced by the editor."OCLC-licensed vendor bibliographic record.

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Detail Information

Series Title

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Call Number

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Publisher

Cambridge, Mass. : : MIT Press,., 1989.

Collation

1 online resource (401 pages) :illustrations

Language

English

ISBN/ISSN

0262255596

Classification

NONE

Content Type

text

Media Type

computer

Carrier Type

online resource

Edition

1st MIT Press ed.

Subject(s)

Neural computers.
Computer architecture.

Specific Detail Info

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Statement of Responsibility

edited by Igor Aleksander.

Other Information

Cataloger

Kholif Basri

Source

https://doi.org/10.7551/mitpress/4926.001.0001

Validator

Kholif Basri

Digital Object Identifier (DOI)

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Journal Issue

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