A hierarchical selective ensemble randomized neural network hybridized with heuristic feature selection for estimation of sea-ice thickness
Author:
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
http://link.springer.com/content/pdf/10.1007/s10489-016-0815-x.pdf
Reference42 articles.
1. Aksenov YP, Ekaterina E, Yool A, Nurser AJ, George W, Timothy D, Bertino L, Bergh J (2016) On the future navigability of Arctic sea routes: High-resolution projections of the Arctic Ocean and sea ice. Marine Policy
2. Aslanargun A, Mammadov M, Yazici B (2007) Comparison of ARIMA, neural networks and hybrid models in time series: tourist arrival forecasting. J Stat Comput Simul 77(1):29–53
3. Belchansky GI, Douglas DC, Platonov NG (2008) Fluctuating Arctic sea ice thickness changes estimated by an in situ learned and empirically forced neural network model. J Clim 21(4):716–729
4. Broomhead DS, Lowe D (1988) Multivariable functional interpolation and adaptive networks. Compl Syst 2:321–355
5. Burger M, Neubauer A (2003) Analysis of Tikhonov regularization for function approximation by neural networks. Neural Netw 16(1):79–90
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