Simulation of the mean zero-up-crossing wave period using artificial neural networks trained with a simulated annealing algorithm

Author： Bazargan Hamid   Bahai Hamid   Aryana Farzad  

Publisher： Springer Publishing Company

ISSN： 0948-4280

Source： Journal of Marine Science and Technology, Vol.12, Iss.1, 2007-03, pp. : 22-33

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Related content

A new approach for deriving temperature and salinity fields in the Indian Ocean using artificial neural networks

By Bhaskaran Prasad   Rajesh Kumar Ravindran   Barman Rahul   Muthalagu Ravichandran  

Journal of Marine Science and Technology, Vol. 15, Iss. 2, 2010-06 ,pp. : 160-175

Springer Publishing Company

Access to resources Recommend Favorite

Application of Artificial Neural Networks (ANN) to Primary Production Time-series Data

By Belgrano Andrea  

Journal of Plankton Research, Vol. 23, Iss. 6, 2001-06 ,pp. : 651-658

Oxford University Press

Access to resources Recommend Favorite

Artificial neural networks as a tool for species identification of fish schools

By Haralabous J.   Georgakarakos S.  

ICES Journal of Marine Science, Vol. 53, Iss. 2, 1996-02 ,pp. : 173-180

Academic Press

Access to resources Recommend Favorite

Identifying characteristic chlorophyll a profiles in the coastal domain using an artificial neural network

By Richardson A. J.  

Journal of Plankton Research, Vol. 24, Iss. 12, 2002-12 ,pp. : 1289-1303

Oxford University Press

Access to resources Recommend Favorite

Parameter optimization and analysis of ecosystem models using simulated annealing: A case study at Station P

By Matear Richard J.  

Journal of Marine Research, Vol. 53, Iss. 4, 1995-07 ,pp. : 571-607

Sears Foundation for Marine Research

Access to resources Recommend Favorite