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» Recurrent Fuzzy CMAC for Nonlinear System Modeling
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EUSFLAT
2009
312views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Forecasting Exchange Rates: A Neuro-Fuzzy Approach
This paper presents an adaptive neuro-fuzzy inference system (ANFIS) for USD/JPY exchange rates forecasting. Previous work often used time series techniques and neural networks (NN...
Meysam Alizadeh, Roy Rada, Akram Khaleghei Ghoshe ...
ITIIS
2010
138views more  ITIIS 2010»
14 years 4 months ago
Identification of Fuzzy Inference System Based on Information Granulation
In this study, we propose a space search algorithm (SSA) and then introduce a hybrid optimization of fuzzy inference systems based on SSA and information granulation (IG). In comp...
Wei Huang, Lixin Ding, Sung-Kwun Oh, Chang-Won Jeo...
TFS
2010
152views Education» more  TFS 2010»
14 years 4 months ago
Robust Optimal Reference-Tracking Design Method for Stochastic Synthetic Biology Systems: T-S Fuzzy Approach
At present, the development in the nascent field of synthetic gene networks is still difficult. Most newly created gene networks are nonfunctioning due to intrinsic parameter fluct...
Bor-Sen Chen, Chih-Hung Wu
ITCC
2003
IEEE
15 years 2 months ago
Cluster-Weighted Modeling as a basis for Fuzzy Modeling
The Cluster-Weighted Modeling (CWM) is emerging as a versatile tool for modeling dynamical systems. It is a mixture density estimator around local models. To be specific, the inpu...
Madasu Hanmandlu, Vamsi Krishna Madasu, Shantaram ...
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CIMCA
2006
IEEE
15 years 3 months ago
Direct Adaptive Fuzzy Control with Less Restrictions on the Control Gain
: In the adaptive fuzzy control field for affine nonlinear systems, there are two basic configurations: direct and indirect. It is well known that the direct configuration needs mo...
Phi Anh Phan, Timothy J. Gale