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Title: The statistical mechanics of learning a rule

Journal Article · · Reviews of Modern Physics; (United States)
;  [1];  [2]
  1. Department of Physics, University of Oxford, Oxford OX1 3NP (United Kingdom)
  2. Physikalisches Institut, Julius-Maximilians-Universitaet, Am Hubland, D-8700 Wuerzburg (Germany)

A summary is presented of the statistical mechanical theory of learning a rule with a neural network, a rapidly advancing area which is closely related to other inverse problems frequently encountered by physicists. By emphasizing the relationship between neural networks and strongly interacting physical systems, such as spin glasses, the authors show how learning theory has provided a workshop in which to develop new, exact analytical techniques.

OSTI ID:
6647513
Journal Information:
Reviews of Modern Physics; (United States), Vol. 65:2; ISSN 0034-6861
Country of Publication:
United States
Language:
English