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Neural Network based controller

  1. Jun 24, 2013 #1
    I'm working on a project which deals with temperature control of a room. the idea is to control temperature within a limit.

    I have prior data which i used to train a neural network which is 99.5% accurate. there are 5 inputs (x , y , z , A , B) and there is one output (T).

    Now I want to use this network in a control architecture of some kind. Any suggestions? which should I use?

    P.S. The system is highly complex, non linear and dynamic in nature. I have already tried standard inversion of system but it doesn't work as outputs are lesser than inputs.
    I'm doing this in Matlab.
  2. jcsd
  3. Jun 24, 2013 #2
    What are your 5 inputs?
  4. Jun 24, 2013 #3
    3 coordinates of a point.. the fan speed at that point.. and the dissipated heat at that point
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