Total Number of Private Cars Prediction Model Based on Improved BP Neural Network
Based on total number of private cars in some areas in China for each year in 1996-2007,give a method of predictive model for the forecast of total number of private cars based on the improvement BP neural network,which take GDP,total public transportation mileage,residents” per capita disposable income as the input variables of the network,take the total number of private cars as the output factor,using the data of 1996-2007 for training and testing,which has forecast the results of the simulation,the error between the predictive value and the actual value is less than the tradition BP neural network,reaching the purpose which is expected and showing the effectiveness of the method.
Improved BP neural network Total number of private cars Research on prediction MATLAB Simulation
Jun Zengxi Xiang Kongding
School of Computer Science and Technology China University of Mining and Technology Xuzhou,Jiangsu 2 School of Science China University of Mining and Technology Xuzhou, Jiangsu 221116, China
国内会议
山东泰安
英文
631-634
2009-08-15（万方平台首次上网日期，不代表论文的发表时间）