期刊文献+

一种基于模糊聚类的组合BP神经网络数据挖掘方法 被引量:2

An algorithm of combined BP neural network data mining based on fuzzy clustering
下载PDF
导出
摘要 介绍了一种基于模糊聚类的组合BP神经网络的数据挖掘方法,并给出了该方法的模型和启发式BP改进算法Heuristicbp。且将其应用于数学函数值预测中,取得了学习时间短和预测精度高的效果,证明该方法是有效的,具有较高的实际应用性。 This paper introduces an algorithm of combined BP neural network data mining based on fuzzy clustering, and produces the combined BP neural network model and improves Heuristicbp algorithm, which is used in the mathematical function - value prediction, obtaining good results of abort training-time and high predicting-precision. The algorithm is proved effective and finds wide application.
作者 蔡虹 叶水生
出处 《南昌航空工业学院学报》 CAS 2005年第1期19-23,共5页 Journal of Nanchang Institute of Aeronautical Technology(Natural Science Edition)
关键词 挖掘方法 模糊聚类 网络数据 组合 BP神经网络 改进算法 数值预测 预测精度 学习时间 启发式 应用性 fuzzy clustering combined BP neural network Heuristicbp algorithm prediction
  • 相关文献

参考文献1

二级参考文献21

  • 1J L Yuan,T L Fine. Neural-Network design for small training sets of high dimension[J].IEEE Trans Neural Networks, 1998 ;9:266~280
  • 2S Abe,R Thawonmas. A fuzzy classifier with ellipsoidal regions[J].IEEE Trans Fuzzy Syst, 1997; 5: 358~368
  • 3Christiane Stutz,Thomas A Runkler. Classification and Prediction of Road Traffic Using Application-Specific Fuzzy Clustering[J].IEEE Trans Fuzzy Syst, 2002; 10 (3): 297~308
  • 4S Abe,M-S Lan. A method for fuzzy rules extraction directly from numerical data and its application to pattern classification[J].IEEE Trans Fuzzy Syst, 1995 ;3:18~28
  • 5Jeen-Shing Wang,C S George Lee. Salf-Adaptive Neuro-Fuzzy Inference Systems for Classification Applications[J].IEEE Trans Fuzzy Syst, 2002; 10 (6): 790~802
  • 6F Uebele,S Abe,M-S Lan. A neural network-based fuzzy classifier [J].IEEE Trans Syst, Man, Cybern, 1995 ;25:353~361
  • 7J S Wang,C S G Lee.Self-adaptive neuro-fuzzy inference systems for classification applications[J].IEEE Trans Fuzzy Syst,2002; 10:790~802
  • 8N Kasabov. DENFIS:Dynamic evolving neural-fuzzy inference system and its application for time-series prediction[J].IEEE Trans Fuzzy Syst,2002; 10:144~154
  • 9Detlef Nauck,Rudolf Kruse. Neuro-fuzzy systems for function approximation[J].Fuzzy Sets Syst, 1999; 101 ( 2 ): 261~271
  • 10M Y Chen,D A Linkens.A systematic neuro-fuzzy modeling framework with application to material property prediction[J].IEEE Trans Fuzzy Syst,2001 ;31:781~790

共引文献4

同被引文献15

引证文献2

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部