沈阳工业大学学报2011，Vol.33Issue(3)：303-307,5.
基于数据模型的浆纱过程操作参数设定方法
Operating parameter setting method based on data model for slashing process
摘要
Abstract
The operating parameter setting method based on data model was proposed for textile slashing process where the operating parameter optimization setting is difficult to be realized for various production specifications, material states and operating conditions. The size add-on prediction model was established by the known operating parameters and size add-on data. An inverse neural network model was established where the size add-on was taken as the input variable and the operating parameter was chosen as the output variable. The operating parameter setting values to satisfy the desired size add-on were calculated by the inverse neural network model, and the calculated operating parameter setting values were verified by the size add-on prediction model. The results show that the proposed operating parameter setting method based on data model is effective.关键词
操作参数设定/数据建模/预测模型/神经网络/逆模型/浆纱过程/期望指标/上浆率Key words
operating parameter setting/ data modeling/ prediction model/ neural network/ inverse model/slashing process/ desired index/ size add-on分类
信息技术与安全科学引用本文复制引用
张宇献,刘春芳..基于数据模型的浆纱过程操作参数设定方法[J].沈阳工业大学学报,2011,33(3):303-307,5.基金项目
国家自然科学基金资助项目(50805098). （50805098）
