Editorial for Special Issue: “Application of Artificial Neural Networks in Geoinformatics”
Source abstract
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.[…]
Only a short abstract or summary was supplied by the source.
Source: crossref · Quality: short
Research context
OpenAlex topics: Landslides and related hazards · Anomaly Detection Techniques and Applications · Traffic Prediction and Management Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Geological Research Division, Korea Institute of Geoscience and Mineral Resources (KIGAM), 124, Gwahak-ro Yuseong-gu, Daejeon 34132, Korea
Department of Geophysical Exploration, Korea University of Science and Technology, 217 Gajeong-ro Yuseong-gu, Daejeon 34113, Korea
References (14)
Show source-provided references
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11. Foody, G. (2017). Impacts of Sample Design for Validation Data on the Accuracy of Feedforward Neural Network Classification. Appl. Sci., 7.10.3390/app7090888 ↗
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14. Afonso, N., and Pires, J. (2017). Characterization of Surface Ozone Behavior at Different Regimes. Appl. Sci., 7.10.3390/app7090944 ↗