626 search results - page 81 / 126 » Evolving Artificial Neural Networks that Develop in Time |
ESANN
2003
14 years 11 months ago
2003
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
IJCNN
2007
IEEE
15 years 3 months ago
2007
IEEE
- This paper presents an optimal energy control scheme for a grid independent photovoltaic (PV) solar system consisting of a PV array, battery energy storage, and time varying load...
ECAL
2001
Springer
15 years 2 months ago
2001
Springer
This paper presents recent work in computational modelling of diffusing gaseous neuromodulators in biological nervous systems. It goes on to describe work in adaptive autonomous sy...
IJCNN
2008
IEEE
15 years 4 months ago
2008
IEEE
— Negative Correlation Learning (NCL) has been showing to outperform other ensemble learning approaches in off-line mode. A key point to the success of NCL is that the learning o...
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ICANNGA
2007
Springer
15 years 3 months ago
2007
Springer
This paper describes a new technique for automatically developing Artificial Neural Networks (ANNs) by means of an Evolutionary Computation (EC) tool, called Genetic Programming (G...