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Titlebook: Mathematical Approaches to Biomolecular Structure and Dynamics; Jill P. Mesirov,Klaus Schulten,De Witt Sumners Book 1996 Springer-Verlag N

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John F. Marko,Eric D. Siggia sonar signal processing problems. It is generally assumed that the underlying application does not need to be modeled very much and that an artificial neural network solution can be obtained instead by training from empirical data with little or no a priori information about the application. We arg
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Andrzej Stasiak,Jan Bednar,Patrick Furrer,Vsevolod Katritch,Jacques Dubochetural networks when valid generalization is desired. Experimental tests of generalization versus number of examples are then presented for random target networks and examples drawn from a uniform distribution. The experimental results are roughly consistent with the following heuristic: if a database
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Benedict J. Leimkuhler,Sebastian Reich,Robert D. Skeels the foundation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in­ vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brai
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Jill P. Mesirov,Pablo Tamayo,Robert J. Nagledation stone of ontological philosophy. Others have taken the human mind as evidence of the existence of supernatural powers, or even of God. Serious scientific in­ vestigation, which began about half a century ago, has partially answered some of the simpler questions (such as how the brain processe
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Tamar Schlickications.Includes supplementary material: .Neural networks represent a powerful data processing technique that has reached maturity and broad application. When clearly understood and appropriately used, they are a mandatory component in the toolbox of any engineer who wants make the best use of the
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Tangle Complexity and the Topology of the Chinese Ringsples is described in which the complexity of untanglement is conjectured to rise exponentially as a function of the structural complexity of the associated graphs. Possible relations with biological and physical systems are discussed.
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