摘要
简要介绍了BP网络与Elman网络,建立了燃气负荷模型,利用Matlab软件,采用两种神经网络分别对燃气小时负荷进行预测,仿真结果表明,在采样点较少,不考虑外部噪声干扰时,Elman网络精度明显优于BP网络。
The BP network and the Elman network are briefly introduced. The model of gas load is established, and the hour gas load is predicted by utilizing the Matlab software and two kinds of neural nets. The simulation result indicates that the Elman network is obviously superior in accuracy to BP network, when the sampling spots are not enough and the external noise is not considered.
出处
《天津城市建设学院学报》
CAS
2006年第3期219-221,240,共4页
Journal of Tianjin Institute of Urban Construction
基金
天津市高等学校科技发展基金(20041301)
