dc.contributor.author |
Magar, Rajendra |
|
dc.date.accessioned |
2014-03-21T10:57:52Z |
|
dc.date.available |
2014-03-21T10:57:52Z |
|
dc.date.issued |
2012-01-19 |
|
dc.identifier.citation |
Pages 12 |
en_US |
dc.identifier.uri |
http://hdl.handle.net/123456789/862 |
|
dc.description.abstract |
Operational planning of water resources systems like reservoirs and hydro power plants calls for real-time reservoir inflow forecasting. In spite of large number of works, the underlying phenomena are extremely complex, non-linear and uncertain, as a result of which the outcome may not always yield entirely satisfactory results. |
en_US |
dc.language.iso |
en_US |
en_US |
dc.publisher |
GII |
en_US |
dc.relation.ispartofseries |
2nd Indo-Italian Workshop on Hydraulic Sciences; |
|
dc.subject |
Staff Publication - SoET |
en_US |
dc.subject |
Staff Publication - CE |
|
dc.title |
Reservoir inflow modeling using artificial intelligence techniques and its use in real life. |
en_US |
dc.type |
Article |
en_US |