Fundamental problems in metrology - Geofield parameter recovery

被引:4
作者
Pashaev, AM
Sadykhov, RA
Ildyz, FT
Karabork, KT
机构
关键词
digital geofield models; parameter recovery and mapping; methods of processing measurement information;
D O I
10.1007/s11018-006-0037-4
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
Various methods are considered for recovering geofield parameters (algebraic polynomials, filters, and so on), and it is shown to be possible for software packages to be employed by users without a deep knowledge of the theory and programming. Recommendations are made on method choice and the control parameters in preparing to simulate surfaces and map geofield parameters. The advantages and disadvantages of these methods are examined at various stages in the recovery. It is shown that neuron nets are preferable at an early stage, when the volume of information is limited.
引用
收藏
页码:1149 / 1158
页数:10
相关论文
共 24 条
[1]  
AKIMA O, 1978, ACM T MATH SOFTW JUN, P148
[2]  
ARONOV VI, 1977, METHODS MATH DATA PR
[3]  
BELOV PN, 1975, NUMERICAL WEATHER FO
[4]  
BERLYANT AM, 2000, CARTOGRAPHIC ANIMATI
[5]  
BURYAKOVSKII LA, 1990, PETROLEUM GEOLOGY SY
[6]  
DAVID M, 1980, GEOSTATISTICAL DATA
[7]  
GALISHKIN AI, 2000, NEURON NETWORK THEOR
[8]  
Gandin L. S., 1963, OBJECTIVE ANAL METEO
[9]  
GOLOVKO VA, 2001, NEURON NETS TRAINING
[10]  
Hassoun Mohamad H., 1995, Fundamentals of artificial neural networks