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» Robust Adaptive Control Using Neural Networks and Projection
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IJCNN
2007
IEEE
15 years 8 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— 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 ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
IWANN
2005
Springer
15 years 8 months ago
Adaptive Power System Stabilizer Using ANFIS and Genetic Algorithms
— This paper presents an adaptive Power System Stabilizer (PSS) using an Adaptive Network Based Fuzzy Inference System (ANFIS) and Genetic Algorithms (GAs). Firstly, genetic algo...
Jesús Fraile-Ardanuy, Pedro J. Zufiria
IJCNN
2006
IEEE
15 years 8 months ago
An Evaluation of Over-Fit Control Strategies for Multi-Objective Evolutionary Optimization
— The optimization of classification systems is often confronted by the solution over-fit problem. Solution over-fit occurs when the optimized classifier memorizes the traini...
Paulo Vinicius Wolski Radtke, Tony Wong, Robert Sa...
VLSISP
2002
124views more  VLSISP 2002»
15 years 2 months ago
Agglomerative Learning Algorithms for General Fuzzy Min-Max Neural Network
In this paper two agglomerative learning algorithms based on new similarity measures defined for hyperbox fuzzy sets are proposed. They are presented in a context of clustering and...
Bogdan Gabrys
EAAI
2007
199views more  EAAI 2007»
15 years 2 months ago
Nonlinear system modeling and robust predictive control based on RBF-ARX model
An integrated modeling and robust model predictive control (MPC) approach is proposed for a class of nonlinear systems with unknown steady state. First, the nonlinear system is id...
Hui Peng, Zi-Jiang Yang, Weihua Gui, Min Wu, Hideo...