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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...
This paper studies the demand of office building in Shanghai. It defines the demand as the nonlinear function combined with six parameters, including resident population of city, amount of investment on office building construction, the GDP, the rent index of office building, Per capita disposable income and vacancy rate of office buildings. Then, this article uses Logistic Forecasting and Artificial...
The main geometric structural parameters which affected the performance of the compression cell of the helico-axial multiphase pump greatly were selected as the research object. The groups of impeller parameters were determined by the orthogonal experimental design method. Then the pressure rise and efficiency for each group which were obtained through numerical simulation according to CFD method...
This paper presents a comprehensive study of forecasting a day-ahead of load and locational marginal pricing (LMP) using artificial intelligent systems. An artificial neural network (ANN) is trained with a stochastic optimization technique called particle swarm optimization (PSO). This training algorithm works to adjust the network weights and biases as to minimize the error function. Wavelet transformed...
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