Wave forecasts using wind information and genetic programming-Reference-Cited by-同舟云学术

Wave forecasts using wind information and genetic programming

Published:2012-11 Issue: Volume:54 Page:61-69
ISSN:0029-8018
Container-title:Ocean Engineering
language:en
Short-container-title:Ocean Engineering

Author:

Nitsure S.P.,Londhe S.N.,Khare K.C.

Publisher

Elsevier BV

Subject

Ocean Engineering,Environmental Engineering

Reference46 articles.

1. Online wave prediction;Agrawal;Mar. Struct.,2002

2. Genetic programming as a model induction engine;Babovic;J. Hydroinformatics,2000

3. Genetic Programming–An Introduction on the Automatic Evolution of Computer Programs and its Applications;Banzhaf,1997

4. Genetic Programming;Banzhaf,1998

5. Bhattacharya, B., Deibel, I.K., Karstens, S.A.M., Solomatine, D.P., 2003. Neural networks in sedimentation modeling for the approach channel of the port area of Rotterdam. Proceedings of the 7th International Conference on Near Shore and Estuarine Cohesive Sediment Transport Processes (INTERCOH). Virginia Institute of Marine Science, Virginia, USA.

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