BP神经网络在洗毛工艺中的应用  

Apply BP Neural Network on Wool Washing Process

作　　者：姚志利[1] 欧建文[1] 

机构地区：[1]天津工业大学,天津300160

出　　处：《山东纺织科技》2009年第2期39-41,共3页Shandong Textile Science & Technology

摘　　要：基于BP神经网络方法,建立了洗毛工艺参数与洗毛质量之间关系的模型,对洗毛新工艺进行判别。实验结果表明:网络迅速完成训练,输出误差低于10-3,模型具有很高的精度和准确性可以用于对洗毛新工艺的判别,为客观准确地制订洗毛工艺提供新思路。Based on BP neural network model technology, a new model about the relation of wool washing processing parameters and washing quality was developed and used to work out the new wool washing process. The result indicats that the relative output errors are less than 10^-3,so the BP neural network method is so exact that can be used to work out the new wool washing process.

关 键 词：洗毛 工艺参数 BP神经网络 

分 类 号：TS133.2[轻工技术与工程—纺织材料与纺织品设计]