Predicting piezometric water level in dams via artificial neural networks

Author： Ranković Vesna Novaković Aleksandar Grujović Nenad Divac Dejan Milivojević Nikola

ISSN： 0941-0643

Source： Neural Computing & Applications, Vol.24, Iss.5, 2014-04, pp. : 1115-1121

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

PREDICTING LEATHER HANDLE LIKE AN EXPERT BY ARTIFICIAL NEURAL NETWORKS

By Wang Yijun

Applied Artificial Intelligence, Vol. 25, Iss. 2, 2011-02 ,pp. : 180-192

Taylor & Francis Ltd

Access to resources Recommend Favorite

Artificial neural networks for predicting DGPS carrier phase and pseudorange correction

By Indriyatmoko Arif

GPS Solutions, Vol. 12, Iss. 4, 2008-09 ,pp. : 237-247

Springer Publishing Company

Access to resources Recommend Favorite

The quantification of pollutants in drinking water by use of artificial neural networks

By Cauchi Michael

Natural Computing, Vol. 10, Iss. 1, 2011-03 ,pp. : 77-90

Springer Publishing Company

Access to resources Recommend Favorite

The three-factor model and artificial neural networks: predicting stock price movement in China

By Cao Qing

Annals of Operations Research, Vol. 185, Iss. 1, 2011-05 ,pp. : 25-44

Springer Publishing Company

Access to resources Recommend Favorite

Complexity of learning in artificial neural networks

By Engel A.

Theoretical Computer Science, Vol. 265, Iss. 1, 2001-08 ,pp. : 285-306

Elsevier

Access to resources Recommend Favorite