6 search results - page 1 / 2 » G-Prop: Global optimization of multilayer perceptrons using ... |
IJON
2000
13 years 4 months ago
2000
A general problem in model selection is to obtain the right parameters that make a model "t observed data. For a multilayer perceptron (MLP) trained with back-propagation (BP...
EUSFLAT
2009
13 years 2 months ago
2009
This paper proposes an optimization strategy which is based on neural networks and genetic algorithms to calculate the optimal values of gas injection rate and oil rate for oil pro...
ICIC
2009
Springer
13 years 11 months ago
2009
Springer
In this paper, we present an application of neural networks in the renewable energy domain. We have developed a methodology for the daily prediction of global solar radiation on a ...
IAJIT
2008
13 years 5 months ago
2008
: In this paper, we present an approach for writer identification carried out using off-line Arabic handwriting. Our proposed method is based on the combination of global and struc...
FLAIRS
2004
13 years 6 months ago
2004
The output weight optimization-hidden weight optimization (OWO-HWO) algorithm for training the multilayer perceptron alternately updates the output weights and the hidden weights....