Utilize este identificador para referenciar este registo: http://hdl.handle.net/1822/425

TítuloEnsembles of artificial neural networks with heterogeneous topologies
Autor(es)Rocha, Miguel
Cortez, Paulo
Neves, José
Multilayer Perceptrons
CitaçãoROCHA, Miguel ; CORTEZ, Paulo ; NEVES, José – Ensembles of artificial neural networks with heterogeneous topologies. In International Symposium on Engineering of Intelligent Systems : EIS2004, 2, Madeira, 2004 : proceedings. [S.l.] : ICSC Academic Press, [2004]. ISBN 3-906454-35-5
Resumo(s)Within the Machine Learning field, the emergence of ensembles, combinations of learning models, has been boosting the performance of several algorithms. Under this context, Artificial Neural Networks (ANNs) make a fruitful arena, once they are inherently stochastic. In this work, ensembles of ANNs are approached, being used several output combination methods and two heuristic ensemble construction strategies. These were applied to real world classification and regression tasks. The results reveal some improvements of ensembles over single ANNs, favoring the combination of ANNs with distinct complexity (topologies) and the weighted averaging of the outputs as the combination method. The proposed approach is also able to perform automatic model selection.
Arbitragem científicayes
Aparece nas coleções:DSI - Engenharia da Programação e dos Sistemas Informáticos
DI/CCTC - Artigos (papers)
CAlg - Artigos em livros de atas/Papers in proceedings

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