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《Journal of Hunan University of Science & Technology(Natural Science Edition)》 2009-01
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The study on predicting parameters of Probability Integral Method based on Broyden method

HU Qing-feng,CUI Xi-min,LI Chun-yi,YUAN De-bao (Institute of Resources and Safety Engineering,China University of Mining & Technology,Beijing 100083,China)  
A further study was made on the deficiency of Taylor series expansion method taking Probability Integral Method as an example. Firstly the predicting parameters of Probability Integral Method were introduced,at the same time,analyzing the shortcoming of directly calculating method according to definition of parameter and measured data;the basic idea of curve fitting and the iterative steps of Taylor series expansion method were dissertated,and some shortages of Taylor series expansion method were pointed out,such as iterative distortion and convergence slowand so on;and therefore improving the algorithm a new iteration model was established based on the Broyden algorithm and its calculation steps were given;Finally,this paper made a comparative analysis between original and improved,the result shows that the latter is better than before. 1fig.,2tabs.,13refs.
【Fund】: 国家重点基础研究发展规划(973)项目(2007CB209400);; 教育部新世纪优秀人才支持计划资助项目(NECT-07-07098);; 矿山空间信息技术国家测绘局重点实验室(河南理工大学、河南省测绘局)开放基金资助项目(KLM200816)
【CateGory Index】: TD325.2
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