摘要
本文运用人工神经网络的“反向传播”模型,研究了生丝抱合与其结构之间的关系,并选取一组标样进行了具体研究,其最大拟合相对误差不超过4.2%,最大预测相对误差不超过1.8%,结果表明:该方法性能良好,司望成为生丝抱合定量研究的一种有效手段。
The relationship between raw silk cohesion and structure has been studied with the back-pro-pagation model,which is used as one of the typical artifical neural network models in this paper.And a group of samples has been selected as an item of the study,its maximum fitting rclativecrror doesn't exceed 4.2%,and a maxmium predicating relative error is within 1.8%.The resultsindicate that the perfcrence of the neural network approach is good,and therefore it might bereferred as an effective technique for quantitative study of raw silk cohesion.
出处
《纺织学报》
EI
CAS
CSCD
北大核心
1993年第10期16-18,共3页
Journal of Textile Research
