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A new GIS-based data mining technique using an adaptive neuro-fuzzy inference system (ANFIS) and k-fold cross-validation approach for land subsidence susceptibility mapping

Crossref DOI link: https://doi.org/10.1007/s11069-018-3449-y

Published Online: 2018-08-23

Published Print: 2018-11

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Ghorbanzadeh, Omid http://orcid.org/0000-0003-4034-2454
Rostamzadeh, Hashem

Blaschke, Thomas

Gholaminia, Khalil

Aryal, Jagannath
Funding

Funding for this research was provided by:

Austrian Science Fund (DK W 1237-N23)
License Information

Text and Data Mining valid from 2018-08-23
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Article History

Received: 16 October 2017

Accepted: 22 May 2018

First Online: 23 August 2018

Compliance with ethical standards

:

: The authors declare that they have no conflict of interest.

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