Neural Networks for Pattern Recognition
Book Details
Format
Paperback / Softback
ISBN-10
0198538642
ISBN-13
9780198538646
Publisher
Oxford University Press
Imprint
Clarendon Press
Country of Manufacture
GB
Country of Publication
GB
Publication Date
Nov 23rd, 1995
Print length
504 Pages
Weight
768 grams
Dimensions
23.30 x 15.60 x 2.80 cms
Product Classification:
Probability & statisticsNeural networks & fuzzy systemsPattern recognition
Ksh 16,400.00
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Providing a comprehensive account of neural networks from a statistical perspective, this book emphasizes on pattern recognition, which represents the area of greatest applicability for neural networks in contemporary times.
This book provides the first comprehensive treatment of feed-forward neural networks from the perspective of statistical pattern recognition. After introducing the basic concepts of pattern recognition, the book 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. It also motivates the use of various forms of error functions, and reviews the principal algorithms for error function minimization. As well as providing a detailed discussion of learning and generalization in neural networks, the book also covers the important topics of data processing, feature extraction, and prior knowledge. The book concludes with an extensive treatment of Bayesian techniques and their applications to neural networks.
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