Mapping environmental conditions in the St. Lawrence River onto ice parameters using artificial neural networks to predict ice jams

Author： Morse Brian   Hessami Masoud   Bourel Céline  

Publisher： NRC Research Press

ISSN： 1208-6029

Source： Canadian Journal of Civil Engineering, Vol.30, Iss.4, 2003-08, pp. : 758-765

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

Characteristics of ice in the St. Lawrence River

By Morse Brian   Hessami Masoud   Bourel Céline  

Canadian Journal of Civil Engineering, Vol. 30, Iss. 4, 2003-08 ,pp. : 766-774

NRC Research Press

Access to resources Recommend Favorite

Comparative testing of numerical models of river ice jams

By Carson Rick   Beltaos Spyros   Groeneveld Joe   Healy Dan   She Yuntong   Malenchak Jarrod   Morris Mike   Saucet Jean-Philippe   Kolerski Tomasz   Shen Hung Tao  

Canadian Journal of Civil Engineering, Vol. 38, Iss. 6, 2011-06 ,pp. : 669-678

NRC Research Press

Access to resources Recommend Favorite

Predicting Log Data by Using Artificial Neural Networks to Approximate Petrophysical Parameters of Formation

By Baneshi M.  

Petroleum Science and Technology, Vol. 31, Iss. 12, 2013-06 ,pp. : 1238-1248

Taylor & Francis Ltd

Access to resources Recommend Favorite

Determination of Internal Forces Using Artificial Neural Networks

By  

Advanced Engineering Forum, Vol. 2017, Iss. 21, 2017-04 ,pp. : 151-157

Trans Tech Publications

Access to resources Recommend Favorite

Mapping of Ice Motion in Antarctica Using Synthetic-Aperture Radar Data

By Mouginot Jeremie   Scheuchl Bernd   Rignot Eric  

Remote Sensing, Vol. 4, Iss. 9, 2012-09 ,pp. : 2753-2767

MDPI

Access to resources Recommend Favorite