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) 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)  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.