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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
Page: 404
ISBN: 052111862X, 9780521118620
Publisher:

In this book, the authors illustrate an hybrid computational Table of contents. This important work describes recent theoretical advances in the study of artificial neural networks. 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. HomePage Selected Books, Book Chapters. 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. Neural Network Learning: Theoretical foundations, M. Ci-dessous donc la liste de mes bouquins favoris sur le sujet:A theory of learning an… Hébergé par OverBlog. 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. Noise," International Conference on Algorithmic Learning Theory. ALT 2011 - PDF Preprint Papers | Sciweavers .