Mathematical perspectives on neural networks
By Paul Smolensky, Michael C. Mozer and David E. Rumelhart

"Mathematical perspectives on neural networks" is published by L. Erlbaum Associates in 1996 - Mahwah, N.J, it has 862 pages and the language of the book is English.
“Mathematical perspectives on neural networks” Metadata:
- Title: ➤ Mathematical perspectives on neural networks
- Authors: Paul SmolenskyMichael C. MozerDavid E. Rumelhart
- Language: English
- Number of Pages: 862
- Publisher: L. Erlbaum Associates
- Publish Date: 1996
- Publish Location: Mahwah, N.J
“Mathematical perspectives on neural networks” Subjects and Themes:
- Subjects: ➤ Neural networks (computer science) - Computer Neural Networks - Réseaux neuronaux (Informatique) - COMPUTERS - Enterprise Applications - Business Intelligence Tools - Intelligence (AI) & Semantics - Neurale netwerken
Edition Specifications:
- Pagination: xvi, 862 p. :
Edition Identifiers:
- The Open Library ID: OL968734M - OL21079259W
- Online Computer Library Center (OCLC) ID: 844939495 - 34243608
- Library of Congress Control Number (LCCN): 96005256
- ISBN-13: 9780805812015
- ISBN-10: 0805812016
- All ISBNs: 0805812016 - 9780805812015
AI-generated Review of “Mathematical perspectives on neural networks”:
"Mathematical perspectives on neural networks" Description:
Open Data:
Recent years have seen an explosion of new mathematical results on learning and processing in neural networks. This body of results rests on a breadth of mathematical background which even few specialists possess. In a format intermediate between a textbook and a collection of research articles, this book has been assembled to present a sample of these results, and to fill in the necessary background, in such areas as computability theory, computational complexity theory, the theory of analog computation, stochastic processes, dynamical systems, control theory, time-series analysis, Bayesian a
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