GEOCHEMICAL BEHAVIOR INVESTIGATION BASED ON K-MEANS AND ARTIFICIAL NEURAL NETWORK PREDICTION FOR TITANIUM AND ZINC, KIVI REGION, IRAN

GEOCHEMICAL BEHAVIOR INVESTIGATION BASED ON K-MEANS AND ARTIFICIAL NEURAL NETWORK PREDICTION FOR TITANIUM AND ZINC, KIVI REGION, IRAN

The relevance. These are the first studies in the Kivi region. Due to the presence of titanium and zinc in the area, these studies are necessary. Artificial Neural Network and K-means methods for element behavior measurement are new methods in mineral exploration. The main aim of the research is to...

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Bibliographic Details
Main Authors: Adel Shirazy, Mansour Ziaii, Ardeshir Hezarkhani, Timofey V. Timkin, Valery G. Voroshilov
Format: Article
Language:Russian
Published: Tomsk Polytechnic University 2021-03-01
Series:Известия Томского политехнического университета: Инжиниринг георесурсов
Subjects:
titanium
zinc
kivi region
k-means clustering method
artificial neural network
estimation of the elements grade
Online Access:http://izvestiya.tpu.ru/archive/article/view/3106/2428

Internet

http://izvestiya.tpu.ru/archive/article/view/3106/2428

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