摘要
针对BP神经网络收敛速度慢和易于陷入极小值的问题,采用将遗传算法全局寻优和BP神经网络局部寻优相结合的方法,提高了BP神经网络的计算精度和收敛速度。应用该模型对空调水系统进行了辨识,并以冷水机组和水泵能耗最小为目标进行优化,取得了满意的效果。
The convergence speed of BP neural network is slow, and it easily immerges in partial mini- mum value. Aiming at this problem, the accuracy and convergence speed of BP neural network were improved by combining genetic algorithm based on global optimization with the BP neural network based on local optimization. The method was used to to identify the cold water chiller. The minimum energy consumption of cold water chiller and water pump was taken as optimization goal. The obtained result is satisfactory.
出处
《节能技术》
CAS
2011年第5期412-414,423,共4页
Energy Conservation Technology
关键词
空调系统
人工神经网络
遗传算法
优化控制
air - conditioning system
artificial neural network
genetic algorithm
optimization control
作者简介
作者简介：许远超（1979～），男，硕士研究生，工程师。
