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- W1569209311 abstract "Co-evolution is a posible solution to the problem of simultaneous optimization of artificial neural network and training agorithm parameters, due to its ability to deal with vast search spaces. Moreover, this scheme is recommendable when the optimization problem is decomposable in subcomponents.In this paper an approach to cooperative co-evolutionary optimisation of multilayer perceptrons, that improves the G-Prop genetic back-propagation algorithm, is presented.Obtained results show that this co-evolutionary version of G-Prop obtains similar or better results needing much fewer training epochs and thus using much less time than the sequential versions." @default.
- W1569209311 created "2016-06-24" @default.
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- W1569209311 date "2003-01-01" @default.
- W1569209311 modified "2023-10-18" @default.
- W1569209311 title "A statistical model of pollution-caused pulmonary crises" @default.
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- W1569209311 doi "https://doi.org/10.1007/3-540-44868-3_47" @default.
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