Prediction Method of Railway Freight Volume Based on Improved Neural Network

摘要

Railway freight transportation is an important part of national economy. Accurate forecast of railway freight volume is significant to the planning, construction, operation and decision-making of railways. After analyzing the application status of general regression neural network (GRNN) in prediction method of railway freight volume, this paper improves the performance of this model by using improved neural network. In the improved method, genetic algorithm (GA) is adopted to search the optimal spread which is the only factor of GRNN, and then the optimal spread is used for forecasting in GRNN. Finally, the railway freight volumes in the example are forecasted based on this method.