Satsuki Yoneda, Takashi Kurio, Minoru Yoshida, Takaharu Kawase, Mutsuo Honma, Tamio Ito
Bibliographic info:
Building Simulation, 7, 2001, Rio de Janeiro, Brazil, p. 93-98

This paper proposed two simulation methods of the “Cooperation control “. The Cooperation control is defined the optimize connecting control in the HVAC, artificial lighting and day-lighting combined with venetian blind control. The  first  method  is  RBFN(Radial  Basis  Function Networks)[1] that is a kind of Neural Networks. The method  is  adopted  for  learning  the  data  of  the “Expert“ contorol value. The method makes the modl. The second is SOM (Self-organizing Maps) [2] that is another Neural Networks, too. SOM is one method of  the  Data  Mining.  The  method  is  adopted  for classification data that is made by RBFN. The rules of Cooperation control are made by classifying result. There is the IF-THEN rule as an example of the rule. Both methods could provide the Cooperation control.