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引用本文:张秋昭,张书毕,刘军,王光辉,王波.����Bayesian����BP�������GPS�߳�ת��[J].大地测量与地球动力学,2009,29(3):84-87.
作者姓名:张秋昭  张书毕  刘军  王光辉  王波
作者单位:1. 中国矿业大学环境与测绘学院,徐州,221008
2. 中国矿业大学环境与测绘学院,徐州,221008;江苏省资源环境信息工程重点实验室,徐州,221008
摘    要:?????BP?????????????????????????????????????Bayesian?????????BP??????????????????????????GPS??????????????????L-M????????????????????????Bayesian??????BP????????????????????????????????????

关 键 词:Bayesian????  BP??????  GPS??????  ????????  ???  

GPS HEIGHT CONVERSION BASED ON BAYESIAN REGULARIZATION BP ARTIFICIAL NEURAL NETWORK
Zhang Qiuzhao,Zhang Shubi,Liu Jun,Wang Guanghui,Wang Bo.GPS HEIGHT CONVERSION BASED ON BAYESIAN REGULARIZATION BP ARTIFICIAL NEURAL NETWORK[J].Journal of Geodesy and Geodynamics,2009,29(3):84-87.
Authors:Zhang Qiuzhao  Zhang Shubi  Liu Jun  Wang Guanghui  Wang Bo
Institution:1)School of Environment Science and Spatial Informatics of CUMT, Xuzhou 221008 2)Key Laboratory of Resources and Environmental Information Engineering of Jiangsu Province, Xuzhou 221008
Abstract:In view of the defects of traditional BP artificial neural network,the Bayesian regularization method is used for improving the generalization ability of artificial neural network.Through an engineering example,the BP artificial neural network method with Bayesian regularization is compared with L-M method and polynominal curve fitting method respectively.It is found that the improved method has better fitting precision,stability and better generalization ability,so it has good practicability in GPS height ...
Keywords:Bayesian regularization  BP artificial neural network  GPS height conversion  generalization ability  fitting  
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