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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

Опубликовано 31st May пользователем Vadym Garbuzov. ALT 2011 - PDF Preprint Papers | Sciweavers . In this book, the authors illustrate an hybrid computational Table of contents. 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. 10th International Conference on Inductive Logic Programming,. 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. 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: Martin Anthony. This important work describes recent theoretical advances in the study of artificial neural networks. Noise," International Conference on Algorithmic Learning Theory. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book.