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Wavelet neural network is a neural network combining the wavelet theory with neural network theory, which avoids nonlinear optimization problems such as blindness of the design of BP neural network structure and local optimum, greatly simplifying the training. The use of wavelet neural networks to forecast regional logistics demand provided an important reference for regional logistics systematic...
It is difficult to accurately analyze forecasting of tax income. This thesis establishes a tax forecasting model based on BP neural network to analyze impacts imposed on tax income by changes of the following economic factors: industrial added value, total investment in fixed assets, total volume of import and export, total volume of fiscal expenditure, resident consumption level, etc. The thesis...
Traffic demand forecasting is the indispensable process of capacity and resource optimal allocation of comprehensive transport corridor. As such, it is derivate by social and economy activities. The steps of traffic demand forecast of comprehensive transport corridor in this paper is as follows; Step1: Using principal component analysis as a pretreatment to filter out the critical factors that affect...
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