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Evolving sparsely connected neural networks for multi-step ..:
, In:
Proceedings of the 13th annual conference companion on Genetic and evolutionary computation
,
Peralta Donate, Juan
;
Cortez, Paulo
;
Sanchis de Miguel, Araceli
. - p. 219-220 , 2011
Link:
https://dl.acm.org/doi/10.1145/2001858.2001982
RT T1 <cTitle>Proceedings of the 13th annual conference companion on Genetic and evolutionary computation</cTitle>: T1 <Title>Evolving sparsely connected neural networks for multi-step ahead forecasting</Title> UL https://suche.suub.uni-bremen.de/peid=acm-2001982&Exemplar=1&LAN=DE A1 Peralta Donate, Juan A1 Cortez, Paulo A1 Sanchis de Miguel, Araceli A1 Gutierrez Sanchez, German PB ACM YR 2011 K1 estimation distribution algorithm K1 forecasting K1 multilayer perceptron K1 time series K1 Computing methodologies K1 Machine learning K1 Machine learning approaches K1 Neural networks K1 Computer systems organization K1 Architectures K1 Other architectures K1 Heterogeneous (hybrid) systems SP 219 OP 220 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/2001858.2001982 DO https://dl.acm.org/doi/10.1145/2001858.2001982 SF ELIB - SuUB Bremen
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