【摘要】 基于改进型BP神经网络,建立反映织物结构参数与织物悬垂性能之间关系的三层网络模型,对织物的悬垂性能进行预测。其步骤包括通过优选样本、优选参数及网络学习前后的数据变换处理确定训练样本,以及神经网络的结构设计。实验结果表明,改进型BP神经网络能较准确预测织物的悬垂性能指标。更多还原

【Abstract】 The fabric drape prediction model is established with the improved BP neural network..The three-level model contains the relationship between fabric structural parameters and fabric drape function and predicts the fabric drape function.The process includes ensuring the training sample through optimal selecting sample,optimal selecting parameters and data conversion processing before and after network learning and neutral network design.The result shows that the model can forecast fabric drape function effectively.更多还原