Estimation of Pb and Zn Elements using Adaptive Neuro-Fuzzy Inference System (Case study: Gerde Kooh area, north of Yazd)
Publish place: Journal of Mining and Environment، Vol: 13، Issue: 2
Publish Year: 1401
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:
JR_JMAE-13-2_009
تاریخ نمایه سازی: 29 تیر 1401
Abstract:
In the recent years, according to the difficulty of accurately measuring parameters and demarcation of earth sciences, attempts have been made to simplify the natural events for better investigation using geo-modelling. Modeling with intelligent methods is one of the new methods that has been considered in this field in the recent years. In this work, the intelligent method of adaptive neural-fuzzy inference system (ANFIS) is used to predict the elements of lead and zinc located in the Guard Kooh area, north of Yazd province in Iran. Descriptive statistics of data and correlation matrices of studied elements are obtained using the SPSS software. After the data is standardized, imported to the MATLAB software, and the lead and zinc elements are predicted using the ANFIS-SCM method. In this method, ۷۰% of the data (۱۷۵ samples) are set as the training data, and the rest (۷۵ samples) are set as the test data, which are randomly selected. Using the obtained results, it is found that the grade of the estimated elements in the studied area has a good accuracy and a high correlation with the grade of the analyzed elements. As a result, the ANFIS-SCM intelligent method is a useful and accurate method for estimating the lead and zinc elements.
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Authors
Sh. Rezaei
Department of Mining Engineering, Urmia University, Urmia, Iran
A. Imam Ali Pour
Department of Mining Engineering, Urmia University, Urmia, Iran
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