91 search results - page 1 / 19 » Model selection via Genetic Algorithms for RBF networks |
JIFS
2002
13 years 11 months ago
2002
This work addresses the problem of finding the adjustable parameters of a learning algorithm using Genetic Algorithms. This problem is also known as the model selection problem. In...
IJCNN
2008
IEEE
14 years 5 months ago
2008
IEEE
— We consider a fully complex-valued radial basis function (RBF) network for regression application. The locally regularised orthogonal least squares (LROLS) algorithm with the D...
SBRN
2000
IEEE
14 years 3 months ago
2000
IEEE
One of the main obstacles to the widespread use of artijcial neural networks is the difJiculty of adequately define valuesfor their free parameters. This article discusses how Rad...
ESANN
2008
14 years 19 days ago
2008
In regression problems, making accurate predictions is often the primary goal. Also, relevance of inputs in the prediction of an output would be valuable information in many cases....
APIN
2005
13 years 11 months ago
2005
Credit analysts generally assess the risk of credit applications based on their previous experience. They frequently employ quantitative methods to this end. Among the methods used...