摘要
本文利用人工神经网络技术建立了基于面料力学性能的服装缝纫外观平整度客观评价模型,并采用主因子分析法提取评价指标,提高了模型的精度,优于一般多因子回归模型。
Based on mechanical properties of fabric, a model for objectively evaluating sewing smoothness is set up by using artificial neural network technology and the evaluation criteria are selected by using main factor analysis method. As the result, the model is more accurate and better than conventional multiplefactor regression model.
出处
《纺织导报》
CAS
北大核心
2007年第12期96-97,共2页
China Textile Leader
