695 search results - page 14 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
GECCO
2009
Springer
14 years 2 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
GECCO
2005
Springer
14 years 1 months ago
2005
Springer
This paper outlines a radial basis function neural network approach to predict the failures in overhead distribution lines of power delivery systems. The RBF networks are trained ...
ICANN
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
ML
2011
ACM
13 years 2 months ago
2011
ACM
In the last decade, connectionist models have been proposed that can process structured information directly. These methods, which are based on the use of graphs for the representa...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— We propose a new annealing method for the hyperparameters of several recent Learning Vector Quantization algorithms. We first analyze the relationship between values assigned ...