Predictive Modeling and Empirical Analyses of Regional Silk Fabrics Price Index Based on BP Neural Network

摘要

The article is based on the actual collection of silk fabrics price in oriental silk market and surrounding areas for data support, using related theory and experiment analysis method of artificial neural network to analyze and predict regional silk fabrics price index, second class silk fabrics price index and single variety silk fabrics price index. Compare the accuracy and applicability by related index, applied the accumulative total of instant statistics to analysis the silk market fluctuations through the reasonable modeling prediction method. This article confirms that the neural network is a kind of good method used in Analysising and forecasting of regional silk fabrics price index.