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Titlebook: Les souffrances psychologiques des malades du cancer; Comment les reconnaî Patrick Ben Soussan,Éric Dudoit Book 2009Latest edition Springer

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楼主: Consonant
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P. Ben Soussanvation is adopted, improving the global and local searching ability of the algorithm. Combining various strategies improves the global and local searching ability of the algorithm, and accelerates the convergence speed. Finally, 8 benchmark test functions and optimization problems of Design of Reduc
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P. Cannoney the experimental results that our proposed algorithm can achieve the best results in certain cases and generally get the results close to the best-known results within a reasonable period of time. In addition, the proposed algorithm outperforms in some cases and obtains superior results than the b
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A. Leussier MIT universities are investigated in this paper. Learning Analytics is applied to address key factors behind participant dropout events through the comparison of attrition during the first and last weeks of each course. The results show that the attrition of participants during the first week of th
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F. Dalfovo Rollandlearly show that wavelet neural network has good prediction properties for Ochotona curzoniae behavior prediction compared with BP neural network. The model can assist biologists and computer vision scientists to create an effective animal behavior analysis method. The principle of our Ochotona curz
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I. Pellegrinilearly show that wavelet neural network has good prediction properties for Ochotona curzoniae behavior prediction compared with BP neural network. The model can assist biologists and computer vision scientists to create an effective animal behavior analysis method. The principle of our Ochotona curz
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D. Marielearly show that wavelet neural network has good prediction properties for Ochotona curzoniae behavior prediction compared with BP neural network. The model can assist biologists and computer vision scientists to create an effective animal behavior analysis method. The principle of our Ochotona curz
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J.-F. Futoial computing; neural networks; nature inspired computing and optimization; genetic algorithms; signal processing; pattern recognition; biometrics recognition; image processing; information security; virtual reality and human-computer interaction; healthcare informatics theory and methods; artificia
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