The influence of different cost functions in global optimization techniques. Zanchettin, C. & Ludermir, T. In Proceedings of the Ninth Brazilian Symposium on Neural Networks, SBRN'06, 2006.
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This work presents an evaluation of the effect of different cost functions in a methodology that integrates heuristic tabu search, simulated annealing, genetic algorithms and backpropagation. We investigated four cost function approaches: average method, weight-decay, multi-objective optimization, combined multi-objective and weight-decay. The weight-decay approach presented promising results in the simultaneous optimization of artificial neural network architecture and weights. The experiments were performed in four classifications and one prediction problem. © 2006 IEEE.
@inproceedings{
 title = {The influence of different cost functions in global optimization techniques},
 type = {inproceedings},
 year = {2006},
 id = {e7c3b559-6416-3d92-8cb4-2142bde2ca51},
 created = {2019-02-14T18:02:00.091Z},
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 abstract = {This work presents an evaluation of the effect of different cost functions in a methodology that integrates heuristic tabu search, simulated annealing, genetic algorithms and backpropagation. We investigated four cost function approaches: average method, weight-decay, multi-objective optimization, combined multi-objective and weight-decay. The weight-decay approach presented promising results in the simultaneous optimization of artificial neural network architecture and weights. The experiments were performed in four classifications and one prediction problem. © 2006 IEEE.},
 bibtype = {inproceedings},
 author = {Zanchettin, C. and Ludermir, T.B.},
 doi = {10.1109/SBRN.2006.42},
 booktitle = {Proceedings of the Ninth Brazilian Symposium on Neural Networks, SBRN'06}
}

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