498 search results - page 19 / 100 » Training Neural Networks with GA Hybrid Algorithms |
SOCO
2008
Springer
13 years 7 months ago
2008
Springer
INFORMATICALT
2007
13 years 7 months ago
2007
In this article we present the general architecture of a hybrid neuro-symbolic system for the selection and stepwise elimination of predictor variables and non-relevant individuals...
ACMSE
2008
ACM
13 years 9 months ago
2008
ACM
In previous work, a neural network was used to increase the number of solutions found by an evolutionary multiobjective optimization algorithm. In this paper, various approaches a...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
— Over time, neural networks have proven to be extremely powerful tools for data exploration with the capability to discover previously unknown dependencies and relationships in ...
AINA
2010
IEEE
13 years 4 months ago
2010
IEEE
- This paper introduces a neural network training tool through computer networks. The following algorithms, such as neuron by neuron (NBN) [1][2], error back propagation (EBP), Lev...