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» Recurrent Fuzzy CMAC for Nonlinear System Modeling
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TFS
2008
129views more  TFS 2008»
14 years 8 months ago
A Functional-Link-Based Neurofuzzy Network for Nonlinear System Control
Abstract--This study presents a functional-link-based neurofuzzy network (FLNFN) structure for nonlinear system control. The proposed FLNFN model uses a functional link neural netw...
Cheng-Hung Chen, Cheng-Jian Lin, Chin-Teng Lin
EUSFLAT
2007
227views Fuzzy Logic» more  EUSFLAT 2007»
14 years 11 months ago
Time Series Prediction by Perturbed Fuzzy Model
This paper presents a fuzzy system approach to the prediction of nonlinear time series and dynamical systems based on a fuzzy model that includes its derivative information. The u...
Paulo Salgado, Getúlio Igrejas, Fernando Go...
EUSFLAT
2009
169views Fuzzy Logic» more  EUSFLAT 2009»
14 years 7 months ago
Decentralized Adaptive Fuzzy-Neural Control of an Anaerobic Digestion Bioprocess Plant
The paper proposed to use recurrent Fuzzy-Neural Multi-Model (FNMM) identifier for decentralized identification of a distributed parameter anaerobic wastewater treatment digestion ...
Ieroham S. Baruch, Rosalba Galvan-Guerra
94
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NIPS
1993
14 years 11 months ago
Mixtures of Controllers for Jump Linear and Non-Linear Plants
We describe an extension to the Mixture of Experts architecture for modelling and controlling dynamical systems which exhibit multiple modesof behavior. This extension is based on...
Timothy W. Cacciatore, Steven J. Nowlan
ICML
1994
IEEE
15 years 1 months ago
A Modular Q-Learning Architecture for Manipulator Task Decomposition
Compositional Q-Learning (CQ-L) (Singh 1992) is a modular approach to learning to performcomposite tasks made up of several elemental tasks by reinforcement learning. Skills acqui...
Chen K. Tham, Richard W. Prager