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基于灰色BP神经网络的服装面料规格参数预测

孙莉 翟永超

计算机应用与软件2012,Vol.29Issue(7):154-156,163,4.
计算机应用与软件2012,Vol.29Issue(7):154-156,163,4.

基于灰色BP神经网络的服装面料规格参数预测

A FORECAST MODEL OF FABRIC SPECIFICATIONS BASED ON GRAY BP NEURAL NETWORK

孙莉 1翟永超1

作者信息

  • 1. 东华大学计算机科学与技术学院 上海201620
  • 折叠

摘要

Abstract

The paper proposes a new forecasting model of fabric specifications during the production process, which is established by combining BP neural network and GRA (Gray relational analysis). The latter is used to find out the potential relation between various measuring parameters in the process of fabric production and specification parameters of finished fabric, providing function for filtering factors for BP neural network and eventually implementing forecast tasks through training BP neural network. As shown in the experimental evaluation, this model is valid and feasible.

关键词

面料/预测/灰色关联分析/BP神经网络

Key words

Fabric/Forecast/Gray relational analysis/BP neural network

分类

信息技术与安全科学

引用本文复制引用

孙莉,翟永超..基于灰色BP神经网络的服装面料规格参数预测[J].计算机应用与软件,2012,29(7):154-156,163,4.

基金项目

中央高校基本科研业务费专项. ()

计算机应用与软件

OA北大核心CSCDCSTPCD

1000-386X

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