1032 search results - page 7 / 207 » Efficient Learning of Neural Networks with Evolutionary Algo... |
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
In this paper we explore the model–building issue of multiobjective optimization estimation of distribution algorithms. We argue that model–building has some characteristics t...
98
Voted
GECCO
2010
Springer
15 years 2 months ago
2010
Springer
Neuro-evolution and computational neuroscience are two scientific domains that produce surprisingly different artificial neural networks. Inspired by the “toolbox” used by ...
119
Voted
ICANN
2010
Springer
14 years 7 months ago
2010
Springer
The aim of this paper is to study the use of Evolutionary Multiobjective Techniques to improve the performance of Neural Networks (NN). In particular, we will focus on classificati...
74
Voted
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
PPSN
2004
Springer
15 years 3 months ago
2004
Springer
Abstract. A key problem in designing artificial neural networks for visual object recognition tasks is the proper choice of the network architecture. Evolutionary optimization met...