Joint Application of Artificial Neural Networks and Evolutionary Algorithms to Watershed Management

ISSN： 0920-4741

Source： Water Resources Management, Vol.18, Iss.5, 2004-10, pp. : 459-482

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

Abstract

Related content

Artificial Neural Network Models of Watershed Nutrient Loading

By Kim Raymond

Water Resources Management, Vol. 26, Iss. 10, 2012-08 ,pp. : 2781-2797

Springer Publishing Company

Access to resources Recommend Favorite

Synoptic Classification and Establishment of Analogues with Artificial Neural Networks

By Michaelides S. C. Liassidou F. Schizas C. N.

pure & applied geophysics PAGEOPH, Vol. 164, Iss. 6-7, 2007-06 ,pp. : 1347-1364

Springer Publishing Company

Access to resources Recommend Favorite

Precipitation Forecast Using Artificial Neural Networks in Specific Regions of Greece

By Moustris Kostas Larissi Ioanna Nastos Panagiotis Paliatsos Athanasios

Water Resources Management, Vol. 25, Iss. 8, 2011-06 ,pp. : 1979-1993

Springer Publishing Company

Access to resources Recommend Favorite

Monthly rainfall-runoff modelling using artificial neural networks

By Machado Fernando Mine Miriam Kaviski Eloy Fill Heinz

Hydrological Sciences Journal, Vol. 56, Iss. 3, 2011-04 ,pp. : 349-361

Taylor & Francis Ltd

Access to resources Recommend Favorite

Forecasting Surface Water Level Fluctuations of Lake Van by Artificial Neural Networks

By Altunkaynak Abdüsselam

Water Resources Management, Vol. 21, Iss. 2, 2007-02 ,pp. : 399-408

Springer Publishing Company

Access to resources Recommend Favorite