模糊聚类和BP神经网络相结合的变形同步预测

Synchronous prediction of deformation based on fuzzy clustering and BP neural network

研究了用模糊聚类方法分析变形点是否属于同一块变形体上,并对处于同一块变形体上的变形点建立BP神经网络同步预测模型的方法。通过分析,依据研究的方法建立的变形预测模型对变形点的变形量有很好的预测能力。

This article studies a method that using fuzzy clustering to analyse whether the deformation points belong to a same deformable body, also establish a BP neural network synchronization prediction model with that deformation points in the same deformable body. Through analysis, the deformation prediction model established based on the method this paper studies has good ability to predict the deformation of deformation point.