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Titlebook: Neural Networks in a Softcomputing Framework; K. -L. Du,M. N. S. Swamy Textbook 2006 Springer-Verlag London 2006 Evolutionary Computation.

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楼主: 欺侮
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el is unable to shed any light on the nature of semiconductors and insulators. To make further progress one has to take into account that the electronic states in solids form so-called bands. One can think of these as deriving from the states of the free atom.
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structure, lattice dynamics, and electronic properties. We believe that this se­ quence is the optimum choice for tutorial purposes. It enables the more difficult con­ cepts to be introduced at a point where a basic understanding of fundamental ideas has already been achieved through the study of s
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-electron model is the basic model for our understanding of the solid state. Furthermore, there are phenomena associated with the collective behavior of the electrons which can nonetheless be tackled within this framework; for example, Thomas-Fermi screening (Sect. 6.5) or the excitation of charge d
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-electron model is the basic model for our understanding of the solid state. Furthermore, there are phenomena associated with the collective behavior of the electrons which can nonetheless be tackled within this framework; for example, Thomas-Fermi screening (Sect. 6.5) or the excitation of charge d
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ting, Bose–Einstein transitions, highly correlated electron systems and several others have been added. New material on magnetism in solids, as well as a discussion of semiconductors and a changed set of proble978-3-319-75322-5
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ting, Bose–Einstein transitions, highly correlated electron systems and several others have been added. New material on magnetism in solids, as well as a discussion of semiconductors and a changed set of proble978-3-319-75322-5
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sults are covered, making the book suitable as a reference guide for both experienced researchers in and newcomers to this field..Feng Deng is a Professor at Wuhan Institute of Physics and Mathematics, Chinese Academy of Sciences..978-981-13-6967-4Series ISSN 0342-4901 Series E-ISSN 2192-6603
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