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Author:

Bo, Ying-Chun (Bo, Ying-Chun.) | Qiao, Jun-Fei (Qiao, Jun-Fei.) (Scholars:乔俊飞) | Yang, Gang (Yang, Gang.)

Indexed by:

EI Scopus

Abstract:

This paper integrates the ideas of divide and conquer and put the heads together, and proposes a method of selecting sub-networks on-line based on fuzzy decision-making. For a given input, this method calculates the distances between the input and the centers of sub-networks firstly, and then obtains the fuzzy member degree based on distance measure, finally realizes on-line sub-networks selection by fuzzy decision-making. The group of selected sub-networks varies with different inputs. It ensembles multi sub-networks by linear method. The weights of sub-networks are optimized by reconstructing the sample space. The simulation results suggest that this method can improve the precision and generalization ability effectively. © 2011 IEEE.

Keyword:

Optimization Decision making Fuzzy inference Fuzzy neural networks

Author Community:

  • [ 1 ] [Bo, Ying-Chun]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 2 ] [Qiao, Jun-Fei]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China
  • [ 3 ] [Yang, Gang]College of Electronic and Control Engineering, Beijing University of Technology, Beijing, China

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Source :

Year: 2011

Page: 1030-1034

Language: English

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

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