摘要
为了提高暖通空调的运行效率,应用人工神经网络算法对暖通空调系统进行控制。所设计的网络有四个隐含层,每个隐含层有四个隐舍节点,两个输入分别为房间内的温度和湿度,一个输出为焓值。仿真结果和实际应用表明该方法可以很好地实现对空调的控制,达到节能降耗的目的。
This paper use an artificial neural network (ANN) to control a heating, ventilating and air conditioning (HVAC) systems for raising the efficiency of operations. The ANN has four hidden layers, and every layer has four hidden nodes, two inputs of the ANN are temperature and humidity of the room, the only output is enthalpy. Simulated result shows that, this is a good way to meet control request.
出处
《微计算机信息》
2009年第1期26-28,共3页
Control & Automation
基金
河南省自然科学基金资助项目(0511010800)颁发部门:河南省科学技术厅