Multilayer perceptron with local constraint as an emerging method in spatial data analysis

被引：3

作者：

deBollivier, M

Dubois, G

Maignan, M

Kanevsky, M

机构：

[1] ISIS,I-21020 ISPRA,ITALY

[2] EI,JOINT RES CTR,I-21020 ISPRA,ITALY

[3] UNIV LAUSANNE,LAUSANNE,SWITZERLAND

[4] IBRAE,MOSCOW,RUSSIA

来源：

NUCLEAR INSTRUMENTS & METHODS IN PHYSICS RESEARCH SECTION A-ACCELERATORS SPECTROMETERS DETECTORS AND ASSOCIATED EQUIPMENT | 1997年 / 389卷 / 1-2期

关键词：

D O I：

10.1016/S0168-9002(97)00132-0

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

The use of Geographic Information Systems has revolutionalized the handling and the visualization of geo-referenced data and has underlined the critic role of spatial analysis. The usual tools for such a purpose are geostatistics which are widely used in Earth science. Geostatistics are based upon several hypothesis which are not always verified in practice. On the other hand, Artificial Neural Network (ANN) a priori can be used without special assumptions and are known to be flexible. This paper proposes to discuss the application of ANN in the case of the interpolation of a geo-referenced variable.

引用

页码：226 / 229

页数：4

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