BP神经网络在织物性能预测中的应用与研究

The Research and Application of Predicting Fabric Property with BP Neural Network

文章评述了BP神经网络技术的特点,对该技术在织物性能预测中的最新研究成果作了深入探讨,并扼要概括其在预测织物热传递性能、识别服装面料成形性、预测织物悬垂性能、预测织物拉伸性能、评价织物风格、预测织物透气性能、预测精纺毛织物后整理质量、预测织物接触冷暖感、预测棉织物手感方面的最新研究情况,并指出BP人工神经网络在分析类似的织物性能中会有广阔的应用前景。

The characteristics of BP Neural Network are described in this article. It＇s latest research findings are discussed in detail about predicting fabric property with BP Neural Network, such as predicting fabrics heat transfer performance, the evaluation of formability grade of fabrics, cotton fabric drape prediction, predicting fabric tensile property, fabric handle assessment, predicting cotton fabric air permeability, quality prediction and processing control of the worsted finishing, temperature perceptions of touching fabrics, evaluation cotton fabrics handle. At the same time, it would be have more application outlooks in predicting fabric property as discussed with BP Neural Network.