134 search results - page 7 / 27 » An Evolutionary Approach for Tuning Artificial Neural Networ... |
EVOW
2006
Springer
13 years 11 months ago
2006
Springer
This paper presents an approach to the joint optimization of neural network structure and weights which can take advantage of backpropagation as a specialized decoder. The approach...
CEC
2007
IEEE
14 years 1 months ago
2007
IEEE
—The purpose of this paper is to present a comparison between two methods of building adaptive controllers for robots. In spite of the wide range of techniques which are used for...
ICPR
2008
IEEE
14 years 8 months ago
2008
IEEE
In this paper, we present a novel and efficient approach for automatic design of Artificial Neural Networks (ANNs) by evolving to the optimal network configuration(s) within an ar...
SBRN
2000
IEEE
13 years 11 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...
LION
2009
Springer
14 years 1 months ago
2009
Springer
Abstract. Probabilistic Neural Networks (PNNs) constitute a promising methodology for classification and prediction tasks. Their performance depends heavily on several factors, su...