Neural Networks for Pattern Recognition

Bishop, Christopher M.

ISBN 10: 0195667999 / ISBN 13: 9780195667998

Published by Oxford University Press, New Delhi, India, 2003

About this Item

Octavo in red and green wraps; illustrations; References; Index; 482p. "In this textbook, Chris Bishop provides the first comprehensive treatment of feed-forward networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, he describes techniques for modelling probability density functions, and discusses the properties and relative merits of the multi-layer perceptron and radial basis function network models. He also motivates the use of various forms of error function, and reviews the principal algorithms for error function minimization. There is a detailed discussion of learning and generalization in neural networks, and the important topics of data processing, feature extraction, and prior knowledge are also covered. He concludes with an extensive treatment of Bayesian techniques and their applications to neural networks." --Back cover. Includes: 129 Graded exercises, a self-containd introduction to statistical pattern recognition, and an extensive discussion of Bayesian methods. A very good (-) copy with creasing to front bottom edge of wraps and sunning to spine; corners are lightly bumped; first few pages have mild discoloration but leaves are otherwise clean and binding tight; fore edge has teeny dampstains. Seller Inventory # 103344

Bibliographic Details

Title: Neural Networks for Pattern Recognition

Publisher: Oxford University Press, New Delhi, India

Publication Date: 2003

Binding: Paperback

Condition: very good

Edition: First Indian Edition.

About this title

Synopsis:

Brand New