Titlebook: Advanced Intelligent Computing Theories and Applications; With Aspects of Cont De-Shuang Huang,Laurent Heutte,Marco Loog Conference proceed

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https://doi.org/10.1007/978-1-4757-2029-7roblem. The algorithm incorporates two kinds of constraints into single hidden layered feedforward neural networks from a priori information of function approximation problem, which are architectural constraints and connection weight constraints. On one hand, the activation functions of the hidden n

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Wolfgang Goes,Franz Schanovsky,Tibor Grassers in liquid. And many famous scientists have studied the particles motion and proposed independence increment theory. The ITO algorithm is based on the Ito stochastic process. And the experiments show its convergence speed is fast. In this paper the ITO algorithm is applied in the Stochastic Invento

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https://doi.org/10.1007/978-981-10-4856-2 heredity- variation characteristic of function S-rough sets, this paper presents concept of . - heredity law, . - variation law of image feature, gives image feature law generation theorem, and applications of image feature law heredity-variation in image hiding. All results of this paper have impo