498 search results - page 7 / 100 » Training Neural Networks with GA Hybrid Algorithms |
EUROGP
2004
Springer
13 years 11 months ago
2004
Springer
Abstract. In this paper we conduct a comparative study between hybrid methods to optimize multilayer perceptrons: a model that optimizes the architecture and initial weights of mul...
NN
2007
Springer
13 years 6 months ago
2007
Springer
In the last decade, recurrent neural networks (RNNs) have attracted more efforts in inferring genetic regulatory networks (GRNs), using time series gene expression data from micro...
IJCNN
2000
IEEE
13 years 11 months ago
2000
IEEE
: This paper describes a rather novel method for the supervised training of regression systems that can be an alternative to feedforward Artificial Neural Networks (ANNs) trained w...
IJACTAICIT
2010
13 years 2 months ago
2010
In this paper, a recurrent neural network based fuzzy inference system (RNFIS) for prediction is proposed. A recurrent network is embedded in the RNFIS by adding feedback connecti...
FGR
2004
IEEE
13 years 11 months ago
2004
IEEE
Data collection for both training and testing a classifier is a tedious but essential step towards face detection and recognition. All of the statistical methods suffer from this ...