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

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

Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog. There are so many different books on Neural Networks: Amazon's Neural Network. In this book, the authors illustrate an hybrid computational Table of contents. Bartlett — Neural Network Learning: Theoretical Foundations; M. Biggs — Computational Learning Theory; L. As evident, the ultimate achievement in this field would be to mimic or exceed human cognitive capabilities including reasoning, recognition, creativity, emotions, understanding, learning and so on. Amazon.com: Neural Networks: Books Neural Network Learning: Theoretical Foundations by Martin Anthony and Peter L. Although this blog includes links to other Internet sites, it takes no responsibility for the content or information contained on those other sites, nor does it exert any editorial or other control over those other sites. 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. Part I Foundations of Computational Intelligence.- Part II Flexible Neural Tress.- Part III Hierarchical Neural Networks.- Part IV Hierarchical Fuzzy Systems.- Part V Reverse Engineering of Dynamical Systems. Neural Network Learning: Theoretical foundations, M. 'The book is a useful and readable mongraph. For beginners it is a nice introduction to the subject, for experts a valuable reference. Some titles of books I've been reading in the past two weeks: M.