An interactively recurrent functional neural fuzzy network with fuzzy differential evolution and its applications
In this paper, an interactively recurrent functional neural fuzzy network (IRFNFN) with fuzzy differential evolution (FDE) learning method was proposed for solving the control and the prediction problems. The traditional differential evolution (DE) method easily gets trapped in a local optimum durin...
Main Authors: | Cheng, Jian Lin, Chih, Feng Wu, Hsueh, Yi Lin, Cheng, Yi Yu |
---|---|
Format: | Article |
Language: | English |
Published: |
Universiti Kebangsaan Malaysia
2015
|
Online Access: | http://journalarticle.ukm.my/9494/ http://journalarticle.ukm.my/9494/ http://journalarticle.ukm.my/9494/1/10_Cheng-Jian_Lin.pdf |
Similar Items
-
Neural fuzzy systems a neuro-fuzzy synergism to intelligent systems
by: LIN
Published: (1996) -
Evolutionary Fuzzy ARTMAP Neural Networks for Classification of Semiconductor Defects
by: Zuwairie, Ibrahim, et al.
Published: (2014) -
MLP and Elman recurrent neural network modelling for the TRMS
by: Toha, Siti Fauziah, et al.
Published: (2008) -
An Ensemble of Enhanced Fuzzy Min Max Neural Networks for Data Classification
by: Mohammed, Mohammed Falah, et al.
Published: (2017) -
Feature extraction for neural-fuzzy inference system
by: Quek, Chai, et al.
Published: (2003)