|Table of Contents|

Application of Hopfield Neural Network on the Base of ALR in the Height Fitting(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2007年第04期
Page:
412-415
Research Field:
水资源与地质工程
Publishing date:

Info

Title:
Application of Hopfield Neural Network on the Base of ALR in the Height Fitting
Author(s):
LIU Rui-chun1NIE Jian-liang2LIAO Shun-shan3
1. Centre of Forecast, Shanxi Province Administration of Earthquake, Taiyuan 030021, Shanxi, China; 2. School of Geological Engineering and Surveying, Changan University, Xian 710054, Shaanxi, China; 3. Road and Bridge Southern China Engineering Limited Company, Zhongshan 528403, Guangdong, China
Keywords:
Hopfield neural network regularization augmented Lagrangian activation function energy function
PACS:
P207
DOI:
-
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.

References:

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