Bøker i Developments in Connectionist Theory Series-serien

First Published in 1991. Routledge is an imprint of Taylor & Francis, an informa company.

Written for cognitive scientists, psychologists, computer scientists, engineers, and neuroscientists, this book provides an accessible overview of how computational network models are being used to model neurobiological phenomena.

A body of results of new mathematical learning and processing in neural networks. The book also fills in background in such areas as computability theory, theory of analogue computation, time-series analysis, Bayesian analysis, computational learning theory and mathematical statistics.

Composed of three sections, this book presents the training algorithm for neural networks: backpropagation. The first presents the theory and principles; the second a number of network architectures; and the third shows how these can be applied to a number of different fields.

Composed of three sections, this book presents the training algorithm for neural networks: backpropagation. The first presents the theory and principles; the second a number of network architectures; and the third shows how these can be applied to a number of different fields.

First Published in 1991. Routledge is an imprint of Taylor & Francis, an informa company.