用BP神经网络预测精纺毛织物后整理质量  

Quality prediction and processing control of the worsted finishing based on BP neural network

作　　者：肖远发[1] 于伟东[1] 

机构地区：[1]东华大学纺织学院,上海200051

出　　处：《毛纺科技》2005年第2期9-12,共4页Wool Textile Journal

基　　金：国家技术创新项目(02CJ-14-05-01)

摘　　要：通过确定合理的输入层单元数、隐层节点数 ,以 3层BP神经网络建立了原料、纱线和后整理工艺参数与织物质量间的关系 ,对实际加工工艺进行预测 ,获得较满意的效果 ,证明该方法的实用性 ;同时建立了织物质量与工艺参数间的关系 ,并对重要工艺参数进行反演预测 。A three-layer BP neural network system was established to characterize the relationship between the quality of worsted fabrics and the parameters of wool, yarns and finishing processing through the logical determination of the number of the nodes in the input and hidden layers. A satisfied result has been obtained in the forecast to the parameters of the finishing processing. The validity and significance of the method and its relative models have also been verified by means of the prediction to the industrial data. At the same time, the relation between the quality of fabric and processing parameters is also established to forecast the important parameters, providing instruction for practical processing control.

关 键 词：精纺毛织物 织物质量 后整理工艺 纱线 加工工艺 工艺参数 原料 预测 生产 BP神经网络 

分 类 号：TS195.6[轻工技术与工程—纺织化学与染整工程]