织物手性的神经网络预测

Hiroyuki Fujita, Minoru Furutani, Kazuhiko Komurasaki, T. Matsuoka, K. Sakaguchi
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引用次数: 2

摘要

本文提出了一种将神经网络应用于手值预测方法的方法。对使织物结构和密度发生变化的棉织物进行编织,利用织物结构信息预测其手值。并对预测方法的有效性进行了检验。它们的纺织结构信息是经度和密度的起伏数据,是神经网络的输入数据。通过神经网络对织物手值的预测,可以较准确地预测织物手值。仅预测密度变化的纺织手值也能较准确地预测。此外,神经网络预测方法的估计精度高于多元回归分析方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction of Fabric Hand by Neural Network
In this paper, the method that applied the neural network to the prediction method of the hand value was proposed.The cotton fabrics which made the structure of the textile and density change were woven, and the hand value was predicted by the information of the their textile structures.Also, it was examined about the validity of the prediction method. The information about the their textile structures are data about the ups and downs of warp and density, they are input data for neural network. It could be predicted comparatively precisely as a result of predicting the textile hand value which wasn't being learned in the neural network.The results that the textile hand value which made only density change was predicted could be predicted comparatively precisely, too. In addition, the estimation accuracy of prediction method by neural network is higher than that of the method by multiple regression analysis.
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