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» Learning fault-tolerance in Radial Basis Function Networks
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ESANN
1998
13 years 8 months ago
Wavelet interpolation networks
We describe a new approach to real time learning of unknown functions based on an interpolating wavelet estimation. We choose a subfamily of a wavelet basis relying on nested hiera...
Christophe P. Bernard, Stéphane Mallat, Jea...
EAAI
2008
128views more  EAAI 2008»
13 years 7 months ago
Dual heuristic programming based nonlinear optimal control for a synchronous generator
This paper presents the design of an infinite horizon nonlinear optimal neurocontroller that replaces the conventional automatic voltage regulator and the turbine governor (CONVC)...
Jung-Wook Park, Ronald G. Harley, Ganesh K. Venaya...
ESWA
2008
151views more  ESWA 2008»
13 years 7 months ago
Automated diagnosis of sewer pipe defects based on machine learning approaches
In sewage rehabilitation planning, closed circuit television (CCTV) systems are the widely used inspection tools in assessing sewage structural conditions for non man entry pipes....
Ming-Der Yang, Tung-Ching Su
ESANN
2008
13 years 8 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
ISNN
2010
Springer
13 years 5 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He