A new decision strategy in multi-objective training of the artificial neural networks.
Talles Henrique de Medeiros, Ricardo H. C. Takahashi, Antônio P. Braga · The European Symposium on Artificial Neural Networks · 2007
Resumo. In this work it is presented a new proposal to select a model in the multi-objective training method of the Artificial Neural Network (NN). In order to do this, information from the residue of the Pareto optimal solution is used. The principle to decide for minimum autocorrelation of the data is a criteria that guarantees the extraction of the current information in the noisy data. The experiments show the performance of the proposed DM for variations of the supervised learning problems.