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The paper gives a BP neural network (BPNN) prediction model of the ambient air quality based on rough set theory. We make first the reduction of monitoring data of the pollution sources using the theory of rough set, extract the tidy rules. Then the topological structure of the multilayer BPNN and the nerve cells of the connotative layer are defined with these rules. After that the connected weight...
It's well known that artificial neural networks (ANN) are very commonly used for load forecasting in recent years, and it is the key point to select proper factors as input variables of ANN. According to the characteristics of electric short-term load forecasting, a complementation method based on fuzzy-rough set theory and BP NN is proposed to deal with this problem in the paper. First of all, we...
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