498 search results - page 2 / 100 » Training Neural Networks with GA Hybrid Algorithms |
ICARCV
2008
IEEE
13 years 11 months ago
2008
IEEE
— We investigate the use of Particle Swarm Optimization (PSO), and compare with Genetic Algorithms (GA), for a particular robot behavior-learning task: the training of an animat ...
GECCO
2003
Springer
13 years 10 months ago
2003
Springer
Abstract. This paper describes the application of four evolutionary algorithms to the pruning of neural networks used in classification problems. Besides of a simple genetic algor...
GECCO
2000
Springer
13 years 9 months ago
2000
Springer
Optimization of the control parameters of genetic algorithms is often a time consuming and tedious task. In this work we take the meta-level genetic algorithm approach to control ...
ISNN
2009
Springer
13 years 12 months ago
2009
Springer
In real-world applications, it has been observed that class imbalance (significant differences in class prior probabilities) may produce an important deterioration of the classifie...
IWANN
2009
Springer
13 years 12 months ago
2009
Springer
This paper proposes a new evolutionary method for generating ANNs. In this method, a simple real-number string is used to codify both architecture and weights of the networks. Ther...