| 改进的BP神经网络方法在用电量预测中的应用 |
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| 引用本文： | 孙红英.改进的BP神经网络方法在用电量预测中的应用[J].西安文理学院学报,2007,10(2):88-91. |
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| 作者姓名： | 孙红英 |
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| 作者单位： | 仲恺农业技术学院计算科学系 广东广州510225 |
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| 摘 要： | 在借助BP神经网络模型的优异功能的基础上,对它的采用黑箱操作、收敛速度慢等不足之处进行了某些改进,并将该模型在广东汕头市某区用电量预测中进行了初步应用,取得了较好的效果,说明了对该模型的改进具有重要的实际意义.
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| 关 键 词： | 人工神经网络 用电量预测 BP算法 |
| 文章编号： | 24486599 |
| 修稿时间： | 01 20 2007 12:00AM |
Application of Improved BP Neural Network in Forecasting Electricity Requirement |
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| SUN Hong-ying.Application of Improved BP Neural Network in Forecasting Electricity Requirement[J].Journal of Xi‘an University of Arts & Science:Natural Science Edition,2007,10(2):88-91. |
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| Authors: | SUN Hong-ying |
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| Institution: | Department of Computer Science, Zhongkai University of Agriculture and Technology, Guangzhou 510225, China |
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| Abstract: | This article attempted to improve its defects on the basis of superior function of BP.BP neural network model was applied to forecast the electricity requirements in a district of Shantou City,Guangdong Province and good results were obtained.It shows the improvement of the model is of great practical significance. |
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| Keywords: | artificial neural network forecasting of the electricity requirements BP algorith |
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