| 基于OIF-Elman神经网络的燃气日负荷预测 |
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| 引用本文： | 王玲玲,宣大民,徐永生,苏刚. 基于OIF-Elman神经网络的燃气日负荷预测[J]. 煤气与热力, 2008, 28(7) |
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| 作者姓名： | 王玲玲 宣大民 徐永生 苏刚 |
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| 作者单位： | 天津煤气工程设计院,天津,300381;天津城市建设学院,天津,300384 |
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| 摘 要： | 与传统的Elman神经网络相比,采用具有输出一输入反馈机制的改进Elman(即OIF-Elman)神经网络对燃气日负荷进行预测,不仅计入了隐层节点的反馈,而且考虑输出层节点的反馈,以便从有限的训练样本中获得更多的信息.预测结果表明,在样本较少时,无论在训练速度上,还是在预测准确度上,OIF-Elman网络明显优于Elman网络.
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| 关 键 词： | OIF-Elman 网络 燃气日负荷 预测 |
Forecasting of Daily Gas Load Based on OIF-Elman Neural Network |
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| WANG Ling-ling,XUAN Da-min,XU Yong-sheng,SU Gang. Forecasting of Daily Gas Load Based on OIF-Elman Neural Network[J]. Gas & Heat, 2008, 28(7) |
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| Authors: | WANG Ling-ling XUAN Da-min XU Yong-sheng SU Gang |
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| Abstract: | Compared with the conventional Elman neural network, the output-input feedback (OIF)Elman neural network for forecasting of daily gas load takes into account the hidden node feedback and the output node feedback so as to obtain more information from the limited training samples,The forccasting results show that the OIF-Elman neural network is better than Elman neural network in training speed and forecasting accuracy when there are few samples. |
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| Keywords: | OIF-Elman neural network daily gas load forecasting |
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