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Found 9 from your keywords: subject="Neural computers."
cover
Naturally intelligent systems
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Caudill, Maureen.Butler, Charles

For centuries, people have been fascinated by the possibility of building an artificial system that behaves intelligently. Now there is a new entry in this arena - neural networks. Naturally Intelligent Systems offers a comprehensive introduction to these exciting systems. It provides a technically accurate, yet down-to-earth discussion of neural networks, clearly explaining the underlying conc…

Edition
-
ISBN/ISSN
0585023476
Collation
1 online resource (304 pages) :illustrations
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-
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-
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cover
Neural computing architectures :the design of brain-like machines
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Aleksander, Igor.

"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…

Edition
1st MIT Press ed.
ISBN/ISSN
0262255596
Collation
1 online resource (401 pages) :illustrations
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-
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cover
Neural network design and the complexity of learning
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Judd, J. Stephen.

"A Bradford book.""Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier. Judd looks beyond the scope of any one particular learning rule, at a level abo…

Edition
-
ISBN/ISSN
0585359342
Collation
1 online resource (150 pages) :illustrations.
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cover
Neural networks and natural intelligence
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Grossberg, Stephen,

"A Bradford book."Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…

Edition
-
ISBN/ISSN
9780262315937
Collation
1 online resource (xi, 637 pages) :illustrations
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cover
A neurocomputational perspective :the nature of mind and the structure of sci…
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Churchland, Paul M.,

If we are to solve the central problems in the philosophy of science, Paul Churchland argues, we must draw heavily on the resources of the emerging sciences of the mind-brain. A Neurocomputationial Perspective illustrates the fertility of the concepts and data drawn from the study of the brain and of artificial networks that model the brain. These concepts bring unexpected coherence to scattere…

Edition
-
ISBN/ISSN
9780262270328
Collation
1 online resource (xvii, 321 pages) :illustrations
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-
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cover
New directions in statistical signal processing :from systems to brain
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Haykin, Simon S.,

Signal processing and neural computation have separately and significantly influenced many disciplines, but the cross-fertilization of the two fields has begun only recently. Research now shows that each has much to teach the other, as we see highly sophisticated kinds of signal processing and elaborate hierachical levels of neural computation performed side by side in the brain. In New Directi…

Edition
-
ISBN/ISSN
9780262256315
Collation
1 online resource (vi, 514 pages) :illustrations.
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cover
Talking Nets: An Oral History of Neural Networks
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Anderson, James A.Rosenfeld, Edward.

A Bradford book."OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262267151
Collation
1 online resource (xi, 434 pages) :illustrations
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cover
Unsupervised learning :foundations of neural computation
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Hinton, Geoffrey E.Sejnowski, Terrence J.

A Bradford book."OCLC-licensed vendor bibliographic record.

Edition
-
ISBN/ISSN
9780262288033
Collation
1 online resource (xvi, 398 pages) :illustrations.
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cover
Knowledge-based neurocomputing
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Cloete, Ian,Zurada, Jacek M.,

Looking at ways to encode prior knowledge and to extract, refine, and revise knowledge within a neurocomputing system.Neurocomputing methods are loosely based on a model of the brain as a network of simple interconnected processing elements corresponding to neurons. These methods derive their power from the collective processing of artificial neurons, the chief advantage being that such systems…

Edition
-
ISBN/ISSN
9780262270496
Collation
1 online resource (xiv, 486 pages) :illustrations
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