Artificial neural network for mapping and characterization of acid sulfate soils: Application to Sirppujoki River catchment, southwestern Finland-Reference-Cited by-同舟云学术

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Artificial neural network for mapping and characterization of acid sulfate soils: Application to Sirppujoki River catchment, southwestern Finland

Published:2015-06 Issue: Volume:247-248 Page:38-50
ISSN:0016-7061
Container-title:Geoderma
language:en
Short-container-title:Geoderma

Author:

Beucher A.,Siemssen R.,Fröjdö S.,Österholm P.,Martinkauppi A.,Edén P.

Funder

VALUE Graduate School

Maa- ja Vesitekniikan Tuki ry

Stiftelsens för Åbo Akademi Forskningsinstitut

Publisher

Elsevier BV

Subject

Soil Science

Reference35 articles.

1. Characterization of sulfide deposits by airborne magnetic and gamma-ray responses in eastern Finland;Airo;Ore Geol. Rev.,2004

2. Geochemistry and acidity of sulphide-bearing postglacial sediments of western Finland;Åström;Environ. Geochem. Health,1997

3. Using geochemistry and neural networks to map geology under glacial cover;Barnett,2009

4. Digital soil mapping using artificial neural networks;Behrens;J. Plant Nutr. Soil Sci.,2005

5. Neural networks in R using the Stuttgart Neural Network Simulator: RSNNS;Bergmeir;J. Stat. Softw.,2012

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