Civil & Structural Engineering, Mechanical Physics, Robotics & Artificial Intelligence, Civil & Structural Engineering, Artificial Intelligence (AI), Mathematics, Mathematics, Physics, Robotics & Artificial Intelligence
Log in to track your reading progress.
Overview
Combined for researchers and graduate students the articles from the Sitges Summer School together form an excellent survey of the applications of neural-network theory to statistical mechanics and computer-science biophysics. Various mathematical models are presented together with their interpretation, especially those to do with collective behaviour, learning and storage capacity, and dynamical stability.
Editorials
Booknews
An introduction on the statistical-mechanical formulation of neural networks and 18 papers on topics including model neurons, neuronal oscillators, adaptive recurrent neural networks, attractor neural networks, learning and optimization, learning and retrieving marked patterns, competitive learning neural networks, learning in multilayer networks, and the neural basis of the locomotion of nematodes. No index. Annotation c. Book News, Inc., Portland, OR booknews.comBook Details
Published
December 14, 1990
Publisher
Springer-Verlag New York, LLC
Pages
477
Format
Hardcover
ISBN
9783540532675