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In this paper the feasibility of artificial neural network technology for air fine particles pollution prediction of main traffic route was discussed. The concentration data of PM2.5, PM5 and PM10 were measured in Zhongshan road, the main traffic route of Chongqing, China. Parameter Φ of emission capacity of motor vehicles was used as the independent variable of prediction model. RBF and BP neural...
In order to avoid the economic loss due to too much or too little of electricity consumption, electricity consumption needs to be predicted. In order to solve the drawbacks of BP neural network, genetic algorithm and RBF neural network (GA-RBFNN) is presented to forecast electricity consumption in the study, and genetic algorithm is introduced and tried in optimizing the parameters of RBF neural network...
With transaction data in the stock market, prediction methods based on neural network for the highest price of one stock in every daily trading day and per minute price of one stock in a daily trading day are explored in this paper. BP neural network and RBF neural network are used in the implementation of predictors. To normalize input/out data with stereographic projection method in prediction method...
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