• CN:11-2187/TH
  • ISSN:0577-6686

›› 2000, Vol. 36 ›› Issue (10): 18-22.

• 论文 • 上一篇    下一篇

基于RBF的范例检索方法的研究

张金玉;张优云;谢友柏   

  1. 西安交通大学润滑理论及轴承研究所
  • 发布日期:2000-10-15

RBF BASED CASE RETRIEVAL METHODOLOGY

Zhang Jinyu;Zhang Youyun;Xie Youbai   

  1. Xi'an Jiaotong University
  • Published:2000-10-15

摘要: 基于范例知识的诊断是近年来故障诊断领域一个新的研究课题,径向基函数(RBF)是基于相似度的神经元函数。针对基于相似度范例检索存在地不足,将RBF引入范例检索机的设计之中。提出基于RBF的范例检索模型。并通过对模型网络的改进,使检索模型更适合于诊断实际。仿真和实例表明,基于RBF的范例检索方法优于基于BP网检索,是行之有效的方法。

关键词: 故障诊断, 检索, 径向基函数, 神经网络, 知识系统

Abstract: The diagnosis method based on CBR is focused in fault diagnosis recently. Radial basis function (RBF) is a kind of neuron functions based-on similarity. In allusion to the problem of similarity based case retrieval, the RBF is introduced into design of case retrieval and a RBF based model is proposed in this paper. By means of improving the model network, the retrieval model becomes more suitable for practical diagnosis. Simulation and practical application show that the RBF based retrieval is better and more effective than BP based one.

Key words: Fault diagnosis, Knowledge system, Neural network, Radial basis function, Retrieval

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