524 search results - page 32 / 105 » Training Feedforward Neural Networks Using Genetic Algorithm... |
137
Voted
GECCO
2004
Springer
15 years 7 months ago
2004
Springer
Evolutionary algorithms are a promising approach for the automated design of artificial neural networks, but they require a compact and efficient genetic encoding scheme to repres...
113
Voted
IJCNN
2006
IEEE
15 years 8 months ago
2006
IEEE
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
105
Voted
NCA
2010
IEEE
15 years 9 days ago
2010
IEEE
The Support Vector Machine (SVM) is an interesting classifier with excellent power of generalization. In this paper, we consider applying the SVM to semi-supervised learning. We p...
97
Voted
FLAIRS
2004
15 years 3 months ago
2004
Artificial Neural Networks (ANNs) have proved both a popular and powerful technique for pattern recognition tasks in a number of problem domains. However, the adoption of ANNs in ...
134
Voted
TSMC
1998
15 years 1 months ago
1998
—This paper develops a decentralized adaptive fuzzy control scheme for robot manipulators via a combination of genetic algorithm and gradient method. The controller for each link...