Confidence of a k-Nearest Neighbors Python Algorithm for the 3D Visualization of Sedimentary Porous Media

In a previous paper, the authors implemented a machine learning k-nearest neighbors (KNN) algorithm and Python libraries to create two 3D interactive models of the stratigraphic architecture of the Quaternary onshore Llobregat River Delta (NE Spain) for groundwater exploration purposes. The main lim...

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Veröffentlicht in:	Journal of marine science and engineering Jg. 11; H. 1; S. 60
Hauptverfasser:	Bullejos, Manuel, Cabezas, David, Martín-Martín, Manuel, Alcalá, Francisco Javier
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Basel MDPI AG 01.01.2023
Schlagworte:	3D stratigraphic architecture Algorithms Analysis Aquifers confidence degree data classification Decision making Density Depth Economic models Environmental geology Exploration Fault lines Geographic information systems Geology Grain size Gravel Groundwater Infrastructure K-nearest neighbors algorithm KNN algorithm Libraries Llobregat River Delta Machine learning Particle size Porous media Predictions Python python libraries Quaternary Rivers Sand Sedimentation & deposition Sediments Similarity Stratigraphy Three dimensional models Visualization Water depth Water, Underground Spain
ISSN:	2077-1312, 2077-1312
Online-Zugang:	Volltext
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