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» Statistical Methods for Construction of Neural Networks
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JDCTA
2010
191views more  JDCTA 2010»
13 years 3 months ago
Improved Wavelet Neural Network Based on Hybrid Genetic Algorithm Applicationin on Fault Diagnosis of Railway Rolling Bearing
The method of improved wavelet transform neural network based on hybrid GA(genetic algorithm) is presented to diagnose rolling bearings faults in this paper. Genetic Artificial Ne...
Guoqiang Cai, Limin Jia, Jianwei Yang, Haibo Liu
IJON
2006
103views more  IJON 2006»
13 years 8 months ago
Evolutionary system for automatically constructing and adapting radial basis function networks
This article presents a new system for automatically constructing and training radial basis function networks based on original evolutionary computing methods. This system, called...
Daniel Manrique, Juan Rios, Alfonso Rodrígu...
TNN
2010
234views Management» more  TNN 2010»
13 years 3 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
BMCBI
2008
123views more  BMCBI 2008»
13 years 8 months ago
Validation of protein models by a neural network approach
Background: The development and improvement of reliable computational methods designed to evaluate the quality of protein models is relevant in the context of protein structure re...
Paolo Mereghetti, Maria Luisa Ganadu, Elena Papale...
CEC
2003
IEEE
14 years 1 months ago
Comparing neural networks and Kriging for fitness approximation in evolutionary optimization
Neural networks and the Kriging method are compared for constructing £tness approximation models in evolutionary optimization algorithms. The two models are applied in an identica...
Lars Willmes, Thomas Bäck, Yaochu Jin, Bernha...