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

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.

  Info
Periodical
Chapter
Chapter 5: New Trends in Textile Industry
Edited by
Rui Wang and Huawu Liu
Pages
685-688
DOI
10.4028/www.scientific.net/AMR.331.685
Citation
H. Liu, B. D. Liu, X. Yang, "Predictive Modeling and Empirical Analyses of Regional Silk Fabrics Price Index Based on BP Neural Network", Advanced Materials Research, Vol. 331, pp. 685-688, 2011
Online since
September 2011
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Price
$32.00
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