首页> 外文期刊>Dyes and Pigments >Achieving expected depth of shade in reactive dye application using artificial neural network technique
【24h】

Achieving expected depth of shade in reactive dye application using artificial neural network technique

机译:使用人工神经网络技术在活性染料应用中达到预期的阴影深度

获取原文
获取原文并翻译 | 示例
获取外文期刊封面目录资料

摘要

Achieving the expected depth of shade in the production of dyed goods is a very important aspect.It requires the termination of the process at the right time in other words,correct duration of dyeing should be used.Prediction of this duration for the application of reactive HE dyes on cotton fabric using artificial neural network (ANN) is reported.The results obtained from the network gives an average training error of around 1 % in the prediction of the time duration for achieving the correct depth of shade.The trained network gives the same average error % when tested with other reactive HE dyes even when the input parameters selected are beyond the range of inputs,which were used for training the network.
机译:在染色产品的生产中达到预期的阴影深度是一个非常重要的方面。它要求在正确的时间终止该过程,换句话说,应该使用正确的染色时间。据报道,使用人工神经网络(ANN)将HE染料染色在棉织物上,从该网络获得的结果在预测达到正确阴影深度的持续时间方面给出的平均训练误差约为1%。使用其他反应性HE染料进行测试时,即使选择的输入参数超出了用于训练网络的输入范围,也具有相同的平均误差%。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号