Difference between revisions of "Q Fitted Algorithm: The Dam Problem"

From AIRWiki
Jump to: navigation, search
(New page: == '''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 t...)
 
m
 
(3 intermediate revisions by the same user not shown)
Line 1: Line 1:
== '''Q Fitted Algorithm and neural network used to manage a Dam'''==
+
{{Project
 
+
|title=Q Fitted Algorithm and neural network used to manage a Dam
 
+
|short_descr=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.
''Project short description''
+
|tutor=MarcelloRestelli
 
+
|students=FabioBortolussi; LeandroBruno;
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.
+
|resarea=Machine Learning
 
+
|start=2009/12/01
'''''Dates'''''
+
|end=2009/02/02
''Start date:'' 2009/11/01  
+
|status=Closed
''End date:'' 2010/07/01
+
|level=Bs
 
+
|type=Course
'''''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''' ==
 
== '''Laboratory work and risk analysis''' ==

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)