Neural Network Learning: Theoretical Foundations by Martin Anthony, Peter L. Bartlett

Neural Network Learning: Theoretical Foundations



Neural Network Learning: Theoretical Foundations ebook download




Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett ebook
Page: 404
ISBN: 052111862X, 9780521118620
Publisher:
Format: pdf


For beginners it is a nice introduction to the subject, for experts a valuable reference. Опубликовано 31st May пользователем Vadym Garbuzov. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book. A barrage of In the supervised-learning algorithm a training data set whose classifications are known is shown to the network one at a time. 'The book is a useful and readable mongraph. Neural Networks - A Comprehensive Foundation. 10th International Conference on Inductive Logic Programming,. Neural Network Learning: Theoretical Foundations: Martin Anthony. For classification, and they are chosen during a process known as training. ; Bishop, 1995 [Bishop In a neural network, weights and threshold function parameters are selected to provide a desired output, e.g.

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