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Neural Network Learning: Theoretical Foundations Martin Anthony, Peter L. Bartlett
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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. Ярлыки: tutorials djvu ebook hotfile epub chm filesonic rapidshare Tags:Neural Network Learning: Theoretical Foundations fileserve pdf downloads torrent book. 20120003110024) and the National Natural Science Foundation of China (Grant no. 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. Because of its theoretical advantages, it is expected to apply Self-Organizing Feature Map to functional diversity analysis. The network consists of two layers, .. Опубликовано 31st May пользователем Vadym Garbuzov. 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. Product DescriptionThis important work describes recent theoretical advances in the study of artificial neural networks. In this paper, the SOFM algorithm SOFM neural network uses unsupervised learning and produces a topologically ordered output that displays the similarity between the species presented to it [18, 19]. 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. In this book, the authors illustrate an hybrid computational Table of contents.