Mathematical Perspectives on Neural Networks by Paul Smolensk... - 9781138876293

Taylor & Francis

Mathematical Perspectives on Neural NetworksAuthor(s): Paul Smolensky, Michael C. Mozer\nFormat: Paperback\nPublisher: Taylor & Francis Ltd, United Kingdom\nImprint: Psychology Press Ltd\nISBN-13: 9781138876293, 978-1138876293\nSynopsis\nRecent 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 analysis, regularization theory, information theory, computational learning theory, and mathematical statistics. \n\n Mathematical models of neural networks .