摘要
评述了人工神经网络和织物风格评价的特点 ,提出人工神经网络在毛织物风格评价中的工作原理和网络构建方法。基于反向传播神经网络模型 (BP)建立了 3层网络系统用于处理织物风格信号。经过学习训练 。
The features of artificial neural networks and fabric handle assessment are commented on. The working principle of the networks in evaluating fabric handle and networks constructing method are put forward. Based on the Back-Propagation neural network model, a three-layer network system is established to process fabric handle signals. The experimental results show that BP neural network have strong capability of self-adaptive recognition.
出处
《毛纺科技》
CAS
北大核心
2004年第2期62-64,共3页
Wool Textile Journal