RBF神经网络在织物风格评价中的应用

Application of RBF neural network in evaluating fabric style

采用先进的径向基函数神经网络(RBF)对织物风格进行评价,较之常用的BP神经网络,RBF的识别能力更强,训练时间也大大缩短,对解决织物风格评定问题具有一定的可靠度和精度,在织物风格评定中具有一定的应用价值。

The advanced Radial Basic Function neural network （RBF） is used to evaluate the fabric style, which has advantages over the commonly used BP neural network in recognition ability and less time required for training. It demonstrates good reliability and precision in resolving the evaluation problem of fabric style, and finds application in this area.