170 search results - page 7 / 34 » Architecture Performance Prediction Using Evolutionary Artif... |
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Voted
APIN
2010
14 years 9 months ago
2010
Artificial neural networks can be trained to perform excellently in many application areas. While they can learn from raw data to solve sophisticated recognition and analysis prob...
CEC
2005
IEEE
15 years 3 months ago
2005
IEEE
It is well known that incremental learning can often be difficult for traditional neural network systems, due to newly learned information interfering with previously learned infor...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
This work provides an analysis of using the evolutionary algorithm EPNet to create ensembles of artificial neural networks to solve a range of forecasting tasks. Several previous...
GECCO
2009
Springer
15 years 4 months ago
2009
Springer
In this paper, we study instances of complex neural networks, i.e. neural networks with complex topologies. We use Self-Organizing Map neural networks whose neighborhood relations...
IEAAIE
2004
Springer
15 years 2 months ago
2004
Springer
Abstract. The aim of our research was to apply well-known data mining techniques (such as linear neural networks, multi-layered perceptrons, probabilistic neural networks, classifi...