摘要
在前人研究的基础上, 利用模糊神经网络来建立新型合成纤维织物的剪切性能预测模型,建立织物物理参数与剪切性能之间的关系。网络经过训练, 具有较强的自适应预测能力, 为新型面料的开发提供了参考依据。
Base on achievements of other researchers, a new way to forecasting synthetic fabric's shear property is put forward. The relation between synthetic fabric′s mechanical property and shear property is established. The experimental results show that the network has strong capability of self-adaptive forecasting, which is useful for developing new synthetic fabric.
出处
《化纤与纺织技术》
2005年第1期26-30,共5页
Chemical Fiber & Textile Technology
