Geochemical anomaly recognition based on Gaussian mixture model

In order to find the optimal method for identifying geochemical anomalies in geochemical exploration, the Gaussian mixture model and the deep autoencoder network were compared in this paper. Based on the determination of the optimal L value of the Gaussian mixture model and the structure of the deep...

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Vydané v:	2021 International Conference on Intelligent Transportation, Big Data & Smart City (ICITBS) s. 821 - 824
Hlavní autori:	Wang, Haijun, Xue, Linfu, Ran, Xiangjin
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 01.03.2021
Predmet:	Anomaly detection Correlation Data models Deep Autoencoder Network Gaussian mixture model Geochemical Anomalies Detection Geochemical Exploration Mineralization Smart cities
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