Difference between revisions of "Q Fitted Algorithm: The Dam Problem"
From AIRWiki
m |
m |
||
| Line 7: | Line 7: | ||
|start=2009/12/01 | |start=2009/12/01 | ||
|end=2009/02/02 | |end=2009/02/02 | ||
| − | |status= | + | |status=Closed |
|level=Bs | |level=Bs | ||
|type=Course | |type=Course | ||
Latest revision as of 17:12, 3 October 2011
Q Fitted Algorithm and neural network used to manage a Dam
| |
| Short Description: | This project is aimed to manage a dam, using Q-Fitted Algorithm and neural network to establish how to manage water ooze to external uses without human iteraction. We also have to care that dam's water level does not exceed and is not below two critical bounds. |
| Coordinator: | |
| Tutor: | MarcelloRestelli (restelli@elet.polimi.it) |
| Collaborator: | |
| Students: | FabioBortolussi (trevize87@hotmail.it), LeandroBruno (leandro.bruno@mail.polimi.it) |
| Research Area: | Machine Learning |
| Research Topic: | |
| Start: | 2009/12/01 |
| End: | 2009/02/02 |
| Status: | Closed |
| Level: | Bs |
| Type: | Course |
Laboratory work and risk analysis
Work at our laptops and use internet connection in order to obtain data for the algorithms . (Virtually no risk)
