基于遗传神经网络的冰蓄冷空调系统负荷预测研究

摘要

针对现阶段冰蓄冷中央空调系统负荷预测的BP( Back Propagation)模型收敛速度慢和容易陷入局部极小点等缺点,结合遗传算法GA( Genetic Algorithm)和BP神经网络,提出了一种GA-BP算法,并在冰蓄冷中央空调负荷预测系统中应用.%Considering the slow convergence and easily falling into local minima of BP ( Back Propagation) model for the ice storage air-conditioning system,the GA-BP algorithm which having GA (Genetic Algorithm) integrated with neural network ( BP) was proposed for the system load forecasting.