| 基于ALR的Hopfield神经
网络在高程拟合中的应用 |
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| 引用本文： | 刘瑞春,聂建亮,廖顺山.基于ALR的Hopfield神经
网络在高程拟合中的应用[J].延边大学理工学报,2007,0(4):412-415. |
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| 作者姓名： | 刘瑞春 聂建亮 廖顺山 |
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| 作者单位： | 1.山西省地震局预报中心,山西太原030021;2.长安大学地质工程与测绘学院,
陕西西安710054;3.路桥华南工程有限公司,广东中山528403 |
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| 摘 要： | 运用具有正规化项的增广拉格朗日函数作为神经网络的能量函数,辅助二次曲面拟合,进一步探索
Hopfield神经网络在高程拟合中的应用。实际算例表明,该方法可以大大提高神经网络的计算效率和可靠性。
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| 关 键 词： | Hopfield神经网络 正规化项 增广拉格朗日函数 激励函数 能量函数 |
Application of Hopfield Neural Network
on the Base of ALR in the Height Fitting |
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| LIU Rui-chun,NIE Jian-liang,LIAO Shun-shan.Application of Hopfield Neural Network
on the Base of ALR in the Height Fitting[J].Journal of Yanbian University (Natural Science),2007,0(4):412-415. |
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| Authors: | LIU Rui-chun NIE Jian-liang LIAO Shun-shan |
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| Affiliation: | 1. Centre of Forecast, Shanxi Province Administration of Earthquake, Taiyuan 030021, Shanxi, China;
2. School of Geological Engineering and Surveying, Changan University, Xian 710054, Shaanxi, China;
3. Road and Bridge Southern China Engineering Limited Company, Zhongshan 528403, Guangdong, China |
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| Abstract: | The height fitting of Hopfield neural network based on augmented Lagrangian with regularization ispresented. A numerical example shows that the method can greatly improve the efficiency and reliability of neural
network. |
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| Keywords: | Hopfield neural network regularization augmented Lagrangian activation function energy function |
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