Comparative Research on GPS Height Fitting Methods based on Neural Network

被引：0
|
作者：
Niu Zhihong [1 ]
Song Mengbo [1 ]
Chen Jiqin [1 ]
机构：
[1] Changjiang Engn Vocat Coll, Wuhan 430212, Hubei, Peoples R China
来源：
2012 INTERNATIONAL CONFERENCE ON MODERN HYDRAULIC ENGINEERING | 2012年 / 28卷
关键词：
GPS Height Fitting; Precision; BP Neural Network; Genetic Neural Network; Annealing Neural Network;
D O I：
10.1016/j.proeng.2012.01.793
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
Characteristics and precision of BP neural network, genetic neural network and annealing neural network applied in GPS height fitting were hereby compared and analyzed to improve the precision of transforming GPS geodetic height into normal height. The results indicated that Genetic Neural Network method is superior to BP neural network method as well as Annealing Neural Network (1)method with good precision through several instances. (C) 2012 Published by Elsevier Ltd. Selection and/or peer-review under responsibility of Society for Resources, Environment and Engineering
引用
收藏
页码：696 / 702
页数：7
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