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

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

The artificial neural networks, which represent the electrical analogue of the biological nervous systems, are gaining importance for their increasing applications in supervised (parametric) learning problems. Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. 'The book is a useful and readable mongraph. Neural Network Learning: Theoretical foundations, M. Underlying this need is the concept of “ connectionism”, which is concerned with the computational and learning capabilities of assemblies of simple processors, called artificial neural networks. Download free ebooks rapidshare, usenet,bittorrent. Neural Networks - A Comprehensive Foundation. For beginners it is a nice introduction to the subject, for experts a valuable reference. Download free Neural Networks and Computational Complexity (Progress in Theoretical Computer Science) H. Amazon.com: Neural Networks: Books Neural Network Learning: Theoretical Foundations by Martin Anthony and Peter L. ; Bishop, 1995 [Bishop In a neural network, weights and threshold function parameters are selected to provide a desired output, e.g. Cheap This important work describes recent theoretical advances in the study of artificial neural networks. For classification, and they are chosen during a process known as training. There are so many different books on Neural Networks: Amazon's Neural Network. 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. Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog.