133 search results - page 13 / 27 » Nonlinear predictive control based on neural multi-models |
IJCNN
2007
IEEE
15 years 4 months ago
2007
IEEE
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
AUTOMATICA
2005
14 years 10 months ago
2005
: Given a continuous-time controller and a Lyapunov function that shows global asymptotic stability for the closed loop system, we provide several results for modification of the c...
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IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...
ICANN
2009
Springer
2009
Springer
Profiling of Mass Spectrometry Data for Ovarian Cancer Detection Using Negative Correlation Learning
15 years 1 months ago
This paper proposes a novel Mass Spectrometry data profiling method for ovarian cancer detection based on negative correlation learning (NCL). A modified Smoothed Nonlinear Energy ...
NECO
2002
14 years 9 months ago
2002
We propose a modular reinforcement learning architecture for non-linear, nonstationary control tasks, which we call multiple model-based reinforcement learning (MMRL). The basic i...