Fuzzy neural network structure of linguistic dynamic systems based on nonlinear particle swarm optimization - Details

author：

Cai, G.-R. (Cai, G.-R..) ^[1] | Chen, S.-L. (Chen, S.-L..) ^[2] | Guo, W.-Z. (Guo, W.-Z..) ^[3]

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Scopus

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：

Computing with words; Fuzzy neural network; Linguistic dynamic systems; Particle swarm optimization

Community：

[ 1 ] [Cai, G.-R.]School of Science, Jimei University, Xiamen, 361021, China
[ 2 ] [Chen, S.-L.]School of Science, Jimei University, Xiamen, 361021, China
[ 3 ] [Guo, W.-Z.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350002, China

Reprint 's Address：

[Cai, G.-R.]School of Science, Jimei University, Xiamen, 361021, China

Email：

kiser@jmu.edu.cn

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Source ：

Proceedings of 2008 3rd International Conference on Intelligent System and Knowledge Engineering, ISKE 2008

Year： 2008

Page： 886-891

Language： English

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SCOPUS Cited Count： 4

ESI Highly Cited Papers on the List： 0 Unfold All

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30 Days PV： 0

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