analysis and application of demand forecasting model with multielement variable parameters
Article
Figures
Metrics
Preview PDF
Reference
Related
Cited by
Materials
Abstract:
A forecasting model for logistics demand was presented to overcome the limitations of single goal forecasts of logistics demand and forecast data complexity. Based on the forecasting evaluation index and pretreatment of rough set theory, a multiinput and multioutput wavelet network (MMWNN) model for forecasting multielement regional logistics demand was studied. The network configuration was confirmed using the stepwise checkout and iterative gradient descent methods. After rough set reduction, the evaluation index was used to forecast the multielement regional logistics demand. The results of the numerical example indicate the feasibility and effectiveness of the model.
