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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 improve the level of electronic commerce credit rating, we establish a full set of E-commerce credit rating level system, and present a method which based on the combination of a principal component analysis and BP neural networks. This method improved the traditional BP neural networks, by using a principal component analysis could eliminate the correlation between the inputs of neural...
This paper presents the optimization of one-hidden layer artificial neural network (ANN) design using evolutionary programming (EP) for predicting the energy output of a grid-connected photovoltaic system installed at Malaysian Energy Centre (PTM), Bangi, Malaysia. In this study, the architecture and training parameters of the multi-layer feedforward back-propagation ANN model had been optimized while...
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