关键词: 径向基函数 可能性C均值聚类 增量学习

Abstract:

A RBF fuzzy neural network for targeting the characteristics of acoustic fault sources of underwater vehicles is presented. The neural network uses th  e possibilistic C-means（PCM） clustering algorithm. The output layer neurons can be modified on-line so that the network has the capability of incremen
   ntal learning. An example of diagnosis indicates that the proposed neural network is efficient.

Key words: radial basis function （RBF） ;possibilistic C-means clustering（PCM）, incremental learning