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author:

Cai, Guo-Rong (Cai, Guo-Rong.) [1] | Chen, Shui-Li (Chen, Shui-Li.) [2] | Guo, Wen-Zhong (Guo, Wen-Zhong.) [3]

Indexed by:

EI

Abstract:

Linguistic dynamic systems (LDS) are dynamic processes involving computing with words instead of numbers for modeling and analysis of complex systems. In this paper, a fuzzy neural network (FNN) structure of LDS base on nonlinear particle swarm optimization was proposed. Finally, experiment results on logistics formulation demonstrated the feasibility and the efficiency of the proposed FNN model. © 2008 IEEE.

Keyword:

Fuzzy inference Fuzzy logic Fuzzy neural networks Intelligent systems Linguistics Particle swarm optimization (PSO) Soft computing

Community:

  • [ 1 ] [Cai, Guo-Rong]School of Science, Jimei University, Xiamen, 361021, China
  • [ 2 ] [Chen, Shui-Li]School of Science, Jimei University, Xiamen, 361021, China
  • [ 3 ] [Guo, Wen-Zhong]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350002, China

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Source :

Year: 2008

Page: 886-891

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: 1

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