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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
Publisher:
Page: 404
ISBN: 052111862X, 9780521118620
Format: pdf

Download free Neural Networks and Computational Complexity (Progress in Theoretical Computer Science) H. 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. Neural Network Learning: Theoretical foundations, M. Artificial neural networks, a biologically inspired computing methodology, have the ability to learn by imitating the learning method used in the human brain. Some titles of books I've been reading in the past two weeks: M. Artificial Neural Networks Mathematical foundations of neural networks. 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. Biggs — Computational Learning Theory; L. 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. Download free ebooks rapidshare, usenet,bittorrent. Bartlett — Neural Network Learning: Theoretical Foundations; M. Learning theory (supervised/ unsupervised/ reinforcement learning) Knowledge based networks.