The 1989 Neuro-computing Bibliography

The 1989 Neuro-computing Bibliography PDF Author: Casimir C. Klimasauskas
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 648

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Book Description
This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.

The 1989 Neuro-computing Bibliography

The 1989 Neuro-computing Bibliography PDF Author: Casimir C. Klimasauskas
Publisher: MIT Press (MA)
ISBN:
Category : Computers
Languages : en
Pages : 648

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Book Description
This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.

Bibliographic Index

Bibliographic Index PDF Author:
Publisher:
ISBN:
Category : Bibliographical literature
Languages : en
Pages : 1080

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Book Description


Neural Computing

Neural Computing PDF Author: Philip D. Wasserman
Publisher: Van Nostrand Reinhold Company
ISBN:
Category : Computers
Languages : en
Pages : 258

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Book Description
This book for nonspecialists clearly explains major algorithms and demystifies the rigorous math involved in neural networks. Uses a step-by-step approach for implementing commonly used paradigms.

Unsupervised Learning

Unsupervised Learning PDF Author: Geoffrey Hinton
Publisher: MIT Press
ISBN: 9780262581684
Category : Medical
Languages : en
Pages : 420

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Book Description
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most significant papers that have appeared in the journal over the past nine years. This volume of Foundations of Neural Computation, on unsupervised learning algorithms, focuses on neural network learning algorithms that do not require an explicit teacher. The goal of unsupervised learning is to extract an efficient internal representation of the statistical structure implicit in the inputs. These algorithms provide insights into the development of the cerebral cortex and implicit learning in humans. They are also of interest to engineers working in areas such as computer vision and speech recognition who seek efficient representations of raw input data.

Cumulative Book Index

Cumulative Book Index PDF Author:
Publisher:
ISBN:
Category : American literature
Languages : en
Pages : 2280

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Book Description
A world list of books in the English language.

Handbook of Neural Computing Applications

Handbook of Neural Computing Applications PDF Author: Alianna J. Maren
Publisher:
ISBN:
Category : Computers
Languages : en
Pages : 488

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Book Description
Computing Methodologies -- Artificial Intelligence.

National Library of Medicine Current Catalog

National Library of Medicine Current Catalog PDF Author: National Library of Medicine (U.S.)
Publisher:
ISBN:
Category : Medicine
Languages : en
Pages : 1178

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Book Description


Journal of Neural Network Computing

Journal of Neural Network Computing PDF Author:
Publisher:
ISBN:
Category : Neural networks (Computer science)
Languages : en
Pages : 276

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Book Description


New Technical Books

New Technical Books PDF Author: New York Public Library
Publisher:
ISBN:
Category : Engineering
Languages : en
Pages : 428

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Book Description


Modeling Brain Function

Modeling Brain Function PDF Author: D. J. Amit
Publisher: Cambridge University Press
ISBN: 9780521421249
Category : Computers
Languages : en
Pages : 528

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Book Description
One of the most exciting and potentially rewarding areas of scientific research is the study of the principles and mechanisms underlying brain function. It is also of great promise to future generations of computers. A growing group of researchers, adapting knowledge and techniques from a wide range of scientific disciplines, have made substantial progress understanding memory, the learning process, and self organization by studying the properties of models of neural networks - idealized systems containing very large numbers of connected neurons, whose interactions give rise to the special qualities of the brain. This book introduces and explains the techniques brought from physics to the study of neural networks and the insights they have stimulated. It is written at a level accessible to the wide range of researchers working on these problems - statistical physicists, biologists, computer scientists, computer technologists and cognitive psychologists. The author presents a coherent and clear nonmechanical presentation of all the basic ideas and results. More technical aspects are restricted, wherever possible, to special sections and appendices in each chapter. The book is suitable as a text for graduate courses in physics, electrical engineering, computer science and biology.