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Open AccessEditorial
Appl. Sci. 2018, 8(1), 55; https://doi.org/10.3390/app8010055

Editorial for Special Issue: “Application of Artificial Neural Networks in Geoinformatics”

1
Geological Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahak-ro Yuseong-gu, Daejeon 34132, Korea
2
Department of Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro Yuseong-gu, Daejeon 34113, Korea
Received: 27 December 2017 / Revised: 27 December 2017 / Accepted: 28 December 2017 / Published: 2 January 2018
(This article belongs to the Special Issue Application of Artificial Neural Networks in Geoinformatics)
View Full-Text   |   Download PDF [148 KB, uploaded 23 January 2018]

Abstract

Recently, a need has arisen for prediction techniques that can address a variety of problems by combining methods from the rapidly developing field of machine learning with geoinformation technologies such as GIS, remote sensing, and GPS.[…] View Full-Text
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (CC BY 4.0).
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Lee, S. Editorial for Special Issue: “Application of Artificial Neural Networks in Geoinformatics”. Appl. Sci. 2018, 8, 55.

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