摘要
本文探讨了人工神经网络系统用于织物在服装加工过程中的行为、性能预测的可行性。由ＫＥＳ—ＦＢ系统测得的织物力学性能作为预测的基础。本文还探讨了网络输入结点数和隐含结点数对人工神经网络系统的误差收敛速度和预测精度进行了讨论。结果表明人工神经网络能有效地用在服装加工领域来对由于织物性能而会引起的服装加工问题进行预测。
Neural networks are used to predict the performance of fabrics in clothing manufacturing The predictions are based on fabric mechanical properties measured on the KES-FB system.The influences of the number of input and hidden nodes on the convergence speed and the prediction accuracy are inverstigated.Tests indicate that the artificial neural networks constructed are effective for predicting potential problems in clothing manufacturing.
出处
《苏州丝绸工学院学报》
1999年第1期32-39,共8页
Journal of Suzhou Institute of Silk Textile Technology
关键词
人工神经网络
织物性能
服装加工
服装质量
artifical neural network,fabric properties,clothing manufacturing,clothing qualiity.
