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» Combining Neural Networks and Fuzzy Controllers
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ICNC
2010
Springer
14 years 10 months ago
A hybrid intelligent early warning system for predicting economic crises: The case of China
—This paper combines artificial neural networks (ANN), fuzzy optimization and time-series econometric models in one unified framework to form a hybrid intelligent early warning...
Dongwei Su, Xingxing He
ICMLA
2008
15 years 1 months ago
Adaptive Control of Antilock Braking System Using Grey Multilayer Feedforward Neural Networks
In this paper, a grey neuro-adaptive control algorithm is suggested for Antilock Braking Systems (ABS). The concept of grey system theory, which has a certain prediction capabilit...
Erdal Kayacan, Yesim Oniz, Okyay Kaynak, Andon V. ...
JDCTA
2010
155views more  JDCTA 2010»
14 years 6 months ago
Multi-factor predication of diesel engine by using artificial neural networks
The paper presents an algorithm which combining a neural network observer, it give more flexible and accurate control on the engine operation. In recent year, several researchers ...
Wenyong Xiao
AUTOMATICA
2006
90views more  AUTOMATICA 2006»
14 years 11 months ago
An ISS-modular approach for adaptive neural control of pure-feedback systems
Controlling non-affine non-linear systems is a challenging problem in control theory. In this paper, we consider adaptive neural control of a completely non-affine pure-feedback s...
Cong Wang, David J. Hill, S. S. Ge, Guanrong Chen
ESANN
2000
15 years 1 months ago
A comparative design of a MIMO neural adaptive rate damping for a nonlinear helicopter model
Using a nonlinear 15-state helicopter model in 6 DOF, two di erent neural control systems, both acting as rate damping, have been designed and compared. They are both based on the ...
Piero A. Gili, Manuela Battipede