Q Fitted Algorithm: The Dam Problem
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Q Fitted Algorithm and neural network used to manage a Dam
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| 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: | |
| Research Topic: | Robogames |
| Status: | Active |
Q Fitted Algorithm and neural network used to manage a Dam
Project 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.
Dates Start date: 2009/11/01 End date: 2010/07/01
Website Work in progress
People involved
Project head M. Restelli - MarcelloRestelli
Students currently working on the project
F. Bortolussi - FabioBortolussi
L. Bruno - LeandroBruno
Laboratory work and risk analysis
Work at our laptops and use internet connection in order to obtain data for the algorithms . (Virtually no risk)
