神經(jīng)網(wǎng)絡(luò)算法在暖通空調(diào)控制中的應(yīng)用

為了提高暖通空調(diào)的運(yùn)行效率，應(yīng)用人工神經(jīng)網(wǎng)絡(luò)算法對(duì)暖通空調(diào)系統(tǒng)進(jìn)行控制。所設(shè)計(jì)的網(wǎng)絡(luò)有四個(gè)隱含層，每個(gè)隱含層有四個(gè)隱含節(jié)點(diǎn)，兩個(gè)輸入分別為房間內(nèi)的溫度和濕度，一個(gè)輸出為焓值。仿真結(jié)果和實(shí)際應(yīng)用表明該方法可以很好地實(shí)現(xiàn)對(duì)空調(diào)的控制，達(dá)到節(jié)能降耗的目的。
關(guān)鍵詞：人工神經(jīng)網(wǎng)絡(luò)（ANN）；BP 算法；暖通空調(diào)（HVAC）系統(tǒng)。
Abstract: 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.
Keywords: artificial neural network (ANN); BP algorithm; heating, ventilating and air
conditioning (HVAC) systems.