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Computational Intelligence and Neuroscience
Volume 2016 (2016), Article ID 6156513, 9 pages
http://dx.doi.org/10.1155/2016/6156513
Research Article

Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations

NOAA Center for Weather and Climate Prediction, 5830 University Research Court, College Park, MD 20740, USA

Received 6 August 2015; Revised 23 October 2015; Accepted 26 October 2015

Academic Editor: José Alfredo Hernandez

Copyright © 2016 Vladimir Krasnopolsky et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Vladimir Krasnopolsky, Sudhir Nadiga, Avichal Mehra, Eric Bayler, and David Behringer, “Neural Networks Technique for Filling Gaps in Satellite Measurements: Application to Ocean Color Observations,” Computational Intelligence and Neuroscience, vol. 2016, Article ID 6156513, 9 pages, 2016. doi:10.1155/2016/6156513