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.
出处
《山东纺织科技》
2009年第2期39-41,共3页
Shandong Textile Science & Technology
关键词
洗毛
工艺参数
BP神经网络
wool washing
processing parameters
BP neural network
