作者: Yuichi Kajino , Yuji Ito , Takayoshi Kawai , Katsuhiko Samukawa , Yoshinori Ichishi
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摘要: Temperatures in a Dr side air-conditioning zone and Pa are controlled highly independently of each other without temperature interference between zone. A room internal air sensor external provided. setters separately set setpoint temperatures (Tset(Dr), Tset(Pa)) First second target blow-out calculating portions, which include neural network, input the data. Then it calculates (TAO(Dr), TAO(Pa)) relative to zones by using network. Air-mixing doors adjusts conditioned blown out from passage be first temperatures. Here, network has learning function, its output desired data (teacher signal). Therefore, at specific condition can adjusted