摘要
Linguistic dynamic systems(LDS)are dynamic processes involving computing with words(CW)for modeling and analysis of complex systems.In this paper,a fuzzy neural network(FNN)structure of LDS was proposed.In addition,an improved nonlinear particle swarm optimization was employed for training FNN.The experiment results on logistics formulation demonstrates the feasibility and the efficiency of this FNN model.
Linguistic dynamic systems（LDS）are dynamic processes involving computing with words（CW）for modeling and analysis of complex systems.In this paper,a fuzzy neural network（FNN）structure of LDS was proposed.In addition,an improved nonlinear particle swarm optimization was employed for training FNN.The experiment results on logistics formulation demonstrates the feasibility and the efficiency of this FNN model.
基金
National Natural Science Foundation of China(No.60873179)
Doctoral Program Foundation of Institutions of Higher Education of China(No.20090121110032)
Shenzhen Science and Technology Research Foundations,China(No.JC200903180630A,No.ZYB200907110169A)
Key Project of Institutes Serving for the Economic Zone on the Western Coast of the Tai wan Strait,China
Natural Science Foundation of Xiamen,China(No.3502Z2093018)
Projects of Education Depart ment of Fujian Province of China(No.JK2009017,No.JK2010031,No.JA10196)
