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Prediction of the Performance of the Fabrics in Garment Manufacturing by Artificial Neural Network

机译:用人工神经网络预测服装制造中织物的性能

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摘要

An artificial neural network is used to predict the performance of fabrics in clothing manufacturing. The predictions are based on fabric mechanical properties measured on the FAST system. The influences of the different ANN's construct on the convergence speed and the prediction accuracy are investigated. The result indicates that the BP neural network is an efficiency technique and has a wide prospect in the application to garment processing.
机译:人工神经网络用于预测织物在服装制造中的性能。预测基于在快速系统上测量的织物机械性能。研究了不同ANN构建体对收敛速度和预测精度的影响。结果表明,BP神经网络是一种效率技术,并且在衣服处理中具有广泛的前景。

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