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作 者:NING Wei~(1,2), QING Xi-hong~2, TAO Hua-xue~2 (1. College of Information Science and Engineering, Shandong Agricultural University, Tai’an 271018,China 2. College of Geo-science and Engineering, Shandong University of Science and Technology, Tai’an 271019, China)
出 处:《中国有色金属学会会刊:英文版》2005年第S1期221-224,共4页Transactions of Nonferrous Metals Society of China
基 金:Project (40174003) supported by the National Natural Science Foundation of China
摘 要:Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment. But, these iterative algorithms need to compare harsh initial value. A kind of new algorithm-adaptive algorithm based on analyzing the general methods was put forward. The new algorithm has quick rate of convergence and low dependence for initial value, so it can avoid calculating complex second derivative of the target function. The results indicate that its performance is better than those of the others.Approximate linear methods and nonlinear methods were adopted usually for solving models of nonlinear surveying and mapping parameters adjustment. But, these iterative algorithms need to compare harsh initial value. A kind of new algorithm-adaptive algorithm based on analyzing the general methods was put forward. The new algorithm has quick rate of convergence and low dependence for initial value, so it can avoid calculating complex second derivative of the target function. The results indicate that its performance is better than those of the others.
关 键 词:PARAMETERS adjustment least SQUARE method adaptive algorithm
分 类 号:P20[天文地球—测绘科学与技术] P28
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