摘要
根据某建筑中央空调系统的工作参数,创建BP神经网络模型,得到输入输出的映射关系。利用遗传算法寻找中央空调系统的最佳工作参数,对遗传算法的优化结果进行分析。利用图形分析法验证遗传算法得到的结果是全局最优解。当冷却水进口温度为室外温度、冷水出口温度为设置范围内的最大值时,空调功耗最小。
According to the given working parameters of central air-conditioning system in a building, a BP neural network model is created, and the input and output mapping is obtained. The optimal working parameters of central air-conditioning system are searched by genetic algorithm, and the genetic algorithm optimization results are analyzed. Using the graphic, analysis method, it is verified that the results of genetic algorithm are the global optimal value. The power of air conditioning is minimal when the inlet temperature of cooling water and freezing water outlet temperature are outdoor temperature and maximum setting value respectively.
出处
《煤气与热力》
2016年第5期13-16,共4页
Gas & Heat
关键词
神经网络
遗传算法
中央空调
图形分析法
BP neural network
genetic algorithm
central air-conditioning system
graphic analysis method
