Value: $162.99
(as of Aug 11, 2025 18:38:36 UTC – Particulars)
This e-book offers the primary complete therapy of feed-forward neural networks from the attitude of statistical sample recognition. After introducing the essential ideas of sample recognition, the e-book describes methods for modelling chance density features, and discusses the properties and relative deserves of the multi-layer perceptron and radial foundation operate community fashions. It additionally motivates using numerous types of error features, and evaluations the principal algorithms for error operate minimization. In addition to offering an in depth dialogue of studying and generalization in neural networks, the e-book additionally covers the essential matters of knowledge processing, function extraction, and prior information. The e-book concludes with an in depth therapy of Bayesian methods and their purposes to neural networks.
ASIN : 0198538642
Writer : Clarendon Press
Publication date : June 1 1994
Version : Illustrated
Language : English
Print size : 504 pages
ISBN-10 : 9780198538646
ISBN-13 : 978-0198538646
Merchandise weight : 748 g
Dimensions : 2.84 x 23.34 x 15.72 cm
Greatest Sellers Rank: #1,114,683 in Books (See Prime 100 in Books) #22 in Sample Recognition Algorithms #40 in Fuzzy Logic Algorithms #195 in Laptop Imaginative and prescient & Sample Recognition
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