{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,23]],"date-time":"2026-03-23T11:31:24Z","timestamp":1774265484907,"version":"3.50.1"},"reference-count":51,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2021,11,23]],"date-time":"2021-11-23T00:00:00Z","timestamp":1637625600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Minerals"],"abstract":"<jats:p>The study area is located near Toot village in the Yazd province of Iran, which is considered in terms of its iron mineralization potential. In this area, due to radioactivity, radiometric surveys were performed in a part of the area where magnetometric studies have also been performed. According to geological studies, the presence of magnetic anomalies can have a complex relationship with the intensity of radioactivity of radioactive elements. Using the K-means clustering method, the centers of the clusters were calculated with and without considering the coordinates of radiometric points. Finally, the behavior of the two variables of magnetic field strength and radioactivity of radioactive elements relative to each other was studied, and a mathematical relationship was presented to analyze the behavior of these two variables relative to each other. On the other hand, the increasing and then decreasing behavior of the intensity of the Earth\u2019s magnetic field relative to the intensity of radioactivity of radioactive elements shows that it is possible to generalize the results of magnetometric surveys to radiometry without radiometric re-sampling in this region and neighboring areas. For this purpose, using the general regression neural network and backpropagation neural network (BPNN) methods, radiometric data were estimated with very good accuracy. The general regression neural network (GRNN) method, with more precision in estimation, was used as a model for estimating the radiation intensity of radioactive elements in other neighboring areas.<\/jats:p>","DOI":"10.3390\/min11121304","type":"journal-article","created":{"date-parts":[[2021,11,30]],"date-time":"2021-11-30T05:42:10Z","timestamp":1638250930000},"page":"1304","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":16,"title":["Investigation of Magneto-\/Radio-Metric Behavior in Order to Identify an Estimator Model Using K-Means Clustering and Artificial Neural Network (ANN) (Iron Ore Deposit, Yazd, IRAN)"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-7756-3205","authenticated-orcid":false,"given":"Adel","family":"Shirazy","sequence":"first","affiliation":[{"name":"Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran"}]},{"given":"Ardeshir","family":"Hezarkhani","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8113-3555","authenticated-orcid":false,"given":"Timofey","family":"Timkin","sequence":"additional","affiliation":[{"name":"School of Earth Sciences & Engineering, Tomsk Polytechnic University, 634050 Tomsk, Russia"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-7623-301X","authenticated-orcid":false,"given":"Aref","family":"Shirazi","sequence":"additional","affiliation":[{"name":"Department of Mining Engineering, Amirkabir University of Technology (Tehran Polytechnic), Tehran 1591634311, Iran"}]}],"member":"1968","published-online":{"date-parts":[[2021,11,23]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"102","DOI":"10.1007\/s11631-017-0161-7","article-title":"Application of K-means and PCA approaches to estimation of gold grade in Khooni district (central Iran)","volume":"37","author":"Mohammadi","year":"2018","journal-title":"Acta Geochim."},{"key":"ref_2","doi-asserted-by":"crossref","first-page":"1153","DOI":"10.4236\/ojg.2020.1012055","article-title":"Evaluation of Chromite Recovery from Shaking Table Tailings by Magnetic Separation Method","volume":"10","author":"Khakmardan","year":"2020","journal-title":"Open J. Geol."},{"key":"ref_3","first-page":"124","article-title":"Geostatistics Studies and Geochemical Modeling Based on Core Data, Sheytoor Iron Deposit, Iran","volume":"6","author":"Shirazi","year":"2018","journal-title":"J. Geol. Resour. Eng."},{"key":"ref_4","doi-asserted-by":"crossref","first-page":"16","DOI":"10.1016\/j.gexplo.2019.01.004","article-title":"Identification of geochemical anomalies of the porphyry\u2013Cu deposits using concentration gradient modelling: A case study, Jebal-Barez area, Iran","volume":"199","author":"Ziaii","year":"2019","journal-title":"J. Geochem. Explor."},{"key":"ref_5","doi-asserted-by":"crossref","unstructured":"Malyszko, D., and Wierzchon, S.T. (2007, January 28\u201330). Standard and Genetic K-means Clustering Techniques in Image Segmentation. Proceedings of the 6th International Conference on Computer Information Systems and Industrial Management Applications, Elk, Poland.","DOI":"10.1109\/CISIM.2007.63"},{"key":"ref_6","doi-asserted-by":"crossref","first-page":"841","DOI":"10.4236\/ojg.2018.89049","article-title":"Copper Oxide Ore Leaching Ability and Cementation Behavior, Mesgaran Deposit in IRAN","volume":"8","author":"Khakmardan","year":"2018","journal-title":"Open J. Geol."},{"key":"ref_7","first-page":"1","article-title":"Minimalization of Ash from Iranian Gilsonite by Froth Flotation","volume":"9","author":"Doodran","year":"2021","journal-title":"J. Miner. Mater. Charact. Eng."},{"key":"ref_8","doi-asserted-by":"crossref","unstructured":"Abolhassani, B., and Salt, J.E. (2005, January 1\u20134). A simplex K-means algorithm for radio-port placement in cellular networks. Proceedings of the Canadian Conference on Electrical and Computer Engineering, Canada, University of Saskatchewan, Saskatoon, SK, Canada.","DOI":"10.1109\/CCECE.2005.1557406"},{"key":"ref_9","doi-asserted-by":"crossref","first-page":"2","DOI":"10.1016\/j.oregeorev.2009.11.002","article-title":"Fractal models for ore reserve estimation","volume":"37","author":"Wang","year":"2010","journal-title":"Ore Geol. Rev."},{"key":"ref_10","doi-asserted-by":"crossref","unstructured":"Shirazy, A., Ziaii, M., Hezarkhani, A., and Timkin, T. (2020). Geostatistical and Remote Sensing Studies to Identify High Metallogenic Potential Regions in the Kivi Area of Iran. Minerals, 10.","DOI":"10.3390\/min10100869"},{"key":"ref_11","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1155\/2020\/9035096","article-title":"Detection and Localization of Early-Stage Multiple Brain Tumors Using a Hybrid Technique of Patch-Based Processing, k-means Clustering and Object Counting","volume":"2020","author":"Nasor","year":"2020","journal-title":"Int. J. Biomed. Imaging"},{"key":"ref_12","doi-asserted-by":"crossref","first-page":"105113","DOI":"10.1016\/j.apgeochem.2021.105113","article-title":"Identification of heavy metal pollution sources and its associated risk assessment in an industrial town using the K-means clustering technique","volume":"135","author":"Khorshidi","year":"2021","journal-title":"Appl. Geochem."},{"key":"ref_13","first-page":"45","article-title":"Remote Sensing Studies for Mapping of Iron Oxide Regions, South of Kerman, IRAN","volume":"7","author":"Shirazi","year":"2018","journal-title":"Int. J. Sci. Eng. Appl."},{"key":"ref_14","first-page":"36","article-title":"Remote sensing to identify copper alterations and promising regions, Sarbishe, South Khorasan, Iran","volume":"4","author":"Shirazi","year":"2018","journal-title":"Int. J. Geol. Earth Sci."},{"key":"ref_15","first-page":"274","article-title":"Exploratory Remote Sensing Studies to Determine the Mineralization Zones around the Zarshuran Gold Mine","volume":"7","author":"Shirazy","year":"2018","journal-title":"Int. J. Sci. Eng. Appl."},{"key":"ref_16","doi-asserted-by":"crossref","first-page":"238","DOI":"10.1016\/j.cageo.2012.06.007","article-title":"ESVC-based extraction and segmentation of texture features","volume":"49","author":"Yang","year":"2012","journal-title":"Comput. Geosci."},{"key":"ref_17","doi-asserted-by":"crossref","first-page":"111","DOI":"10.1111\/ijpo.12196","article-title":"The adiposity of children is associated with their lifestyle behaviours: A cluster analysis of school-aged children from 12 nations","volume":"13","author":"Dumuid","year":"2018","journal-title":"Pediatr. Obes."},{"key":"ref_18","doi-asserted-by":"crossref","first-page":"90","DOI":"10.1016\/j.gexplo.2019.01.017","article-title":"Mapping of single- and multi-element geochemical indicators based on catchment basin analysis: Application of fractal method and unsupervised clustering models","volume":"199","author":"Ghezelbash","year":"2019","journal-title":"J. Geochem. Explor."},{"key":"ref_19","first-page":"39","article-title":"Exploration Geochemistry Data-Application for Cu Anomaly Separation Based On Classical and Modern Statistical Methods in South Khorasan, Iran","volume":"7","author":"Shirazi","year":"2018","journal-title":"Int. J. Sci. Eng. Appl."},{"key":"ref_20","doi-asserted-by":"crossref","first-page":"190","DOI":"10.1016\/j.petrol.2012.03.024","article-title":"Comparison of intelligent and statistical clustering approaches to predicting total organic carbon using intelligent systems","volume":"86","author":"Sfidari","year":"2012","journal-title":"J. Pet. Sci. Eng."},{"key":"ref_21","doi-asserted-by":"crossref","first-page":"350","DOI":"10.1016\/j.atmosenv.2012.07.048","article-title":"Properties of aerosol signature size distributions in the urban environment as derived by cluster analysis","volume":"61","author":"Wegner","year":"2012","journal-title":"Atmos. Environ."},{"key":"ref_22","first-page":"132","article-title":"Geochemical criteria to identify reservoirs and to forecast their oil and gas content in terrigenous deposits in Pur-Tazovskoy oil-bearing field","volume":"329","author":"Isaeva","year":"2018","journal-title":"Bull. Tomsk. Polytech. Univ. Geo Assets Eng."},{"key":"ref_23","first-page":"291","article-title":"An investigation of Pb geochemical behavior respect to those of Fe and Zn based on k-Means clustering method","volume":"1","author":"Ghannadpour","year":"2013","journal-title":"J. Tethys"},{"key":"ref_24","doi-asserted-by":"crossref","first-page":"58","DOI":"10.1016\/j.jaridenv.2012.07.016","article-title":"Factors affecting vegetation and soil recovery in the Mediterranean woodland of the Canary Islands (Spain)","volume":"87","author":"Mora","year":"2012","journal-title":"J. Arid Environ."},{"key":"ref_25","first-page":"127","article-title":"Application of Artificial Neural Networks in Mineral Resource Evaluation","volume":"10","author":"Tawo","year":"1998","journal-title":"J. King Saud Univ. Eng. Sci."},{"key":"ref_26","first-page":"62","article-title":"Introducing a software for innovative neuro-fuzzy clustering method named NFCMR","volume":"8","author":"Shirazi","year":"2018","journal-title":"Glob. J. Comput. Sci. Theory Res."},{"key":"ref_27","first-page":"96","article-title":"Geochemical Behavior Investigation Based on K-means and Artificial Neural Network Prediction for Copper, in Kivi region, Ardabil province, IRAN","volume":"14","author":"Shirazy","year":"2020","journal-title":"Iran. J. Min. Eng."},{"key":"ref_28","first-page":"613","article-title":"Magnetic anomaly characteristics and iron ore prediction of Chengwu-Caoxian county area in Shandong province, China","volume":"33","author":"Hao","year":"2018","journal-title":"Prog. Geophys."},{"key":"ref_29","doi-asserted-by":"crossref","first-page":"103","DOI":"10.1002\/arp.1727","article-title":"Geophysical prospection and archaeological excavation of ancient iron smelting sites in the Barun-Khal valley on the western shore of Lake Baikal (Olkhon region, Siberia)","volume":"26","author":"Kozhevnikov","year":"2019","journal-title":"Archaeol. Prospect."},{"key":"ref_30","first-page":"5","article-title":"Interpretation of geophysical anomalies for mineral resource potential evaluation in Colombia: Examples from the northern Andes and Amazonian regions","volume":"46","author":"Saavedra","year":"2020","journal-title":"Bolet\u00edn Geol\u00f3gico"},{"key":"ref_31","doi-asserted-by":"crossref","unstructured":"Martin, P.G., Connor, D.T., Estrada, N., El-Turke, A., Megson-Smith, D., Jones, C.P., Kreamer, D.K., and Scott, T.B. (2020). Radiological identification of near-surface mineralogical deposits using low-altitude unmanned aerial vehicle. Remote. Sens., 12.","DOI":"10.3390\/rs12213562"},{"key":"ref_32","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1007\/978-3-642-10634-7_17","article-title":"Gravity vs pseudo-gravity: A comparison based on magnetic and gravity gradient measurements","volume":"135","author":"Jekeli","year":"2010","journal-title":"Gravity Geoid Earth Obs."},{"key":"ref_33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1007\/s12371-010-0024-7","article-title":"Geotourism\u2019s Global Growth","volume":"3","author":"Dowling","year":"2011","journal-title":"Geoheritage"},{"key":"ref_34","first-page":"79","article-title":"Introducing Geotourism Attractions in Toroud Village, Semnan Province, IRAN","volume":"9","author":"Shirazi","year":"2020","journal-title":"Int. J. Sci. Eng. Appl."},{"key":"ref_35","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/08120099.2015.1002001","article-title":"Iron and Fe\u2013Mn mineralisation in Iran: Implications for Tethyan metallogeny","volume":"62","author":"Nabatian","year":"2015","journal-title":"Aust. J. Earth Sci."},{"key":"ref_36","doi-asserted-by":"crossref","unstructured":"Ghorbani, M. (2013). The Economic Geology of Iran, Springer. Springer Geology.","DOI":"10.1007\/978-94-007-5625-0"},{"key":"ref_37","doi-asserted-by":"crossref","unstructured":"Ghorbani, M. (2013). A Summary of Geology of Iran, Springer.","DOI":"10.1007\/978-94-007-5625-0_2"},{"key":"ref_38","unstructured":"Nabavieh, S.M., and Mehdi Abad, H.T. (2003). Geological Map (on Scale 1:100000) 2003, Geological Survey and Mineral Exploration of Iran (GSI)."},{"key":"ref_39","doi-asserted-by":"crossref","unstructured":"Myers, L., and Sirois, M.J. (2006). Spearman Correlation Coefficients, Differences between. Encyclopedia of Statistical Sciences, John Wiley & Sons, Inc.","DOI":"10.1002\/0471667196.ess5050.pub2"},{"key":"ref_40","doi-asserted-by":"crossref","first-page":"697","DOI":"10.4236\/ojg.2018.87041","article-title":"Geostatistical Studies and Anomalous Elements Detection, Bardaskan Area, Iran","volume":"8","author":"Alahgholi","year":"2018","journal-title":"Open J. Geol."},{"key":"ref_41","first-page":"11","article-title":"Predicting gold grade in Tarq 1: 100000 geochemical map using the behavior of gold, Arsenic and Antimony by K-means method","volume":"2","author":"Shirazy","year":"2018","journal-title":"J. Miner. Resour. Eng."},{"key":"ref_42","doi-asserted-by":"crossref","first-page":"491","DOI":"10.1007\/s11707-017-0682-8","article-title":"Application of cluster analysis to geochemical compositional data for identifying ore-related geochemical anomalies","volume":"12","author":"Zhou","year":"2018","journal-title":"Front. Earth Sci."},{"key":"ref_43","doi-asserted-by":"crossref","first-page":"651","DOI":"10.1016\/j.patrec.2009.09.011","article-title":"Data clustering: 50 years beyond K-means","volume":"31","author":"Jain","year":"2010","journal-title":"Pattern Recognit. Lett."},{"key":"ref_44","first-page":"113","article-title":"Geochemical behavior investigation based on K-means and artificial neural network prediction for titanium and zinc, Kivi region, Iran","volume":"332","author":"Shirazy","year":"2021","journal-title":"Bull. Tomsk Polytech. Univ. Geo Assets Eng."},{"key":"ref_45","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1016\/j.asoc.2012.08.005","article-title":"A generalized automatic clustering algorithm in a multiobjective framework","volume":"13","author":"Saha","year":"2013","journal-title":"Appl. Soft Comput."},{"key":"ref_46","unstructured":"Hezarkhani, A., and Ghannadpour, S.S. (2015). Geochemical Behavior Investigation Based on K-Means Clustering: Basics, Concepts and Case Study, LAP LAMBERT Academic Publishing."},{"key":"ref_47","unstructured":"Shirazy, A., Shirazi, A., and Hezarkhani, A. (2020). Behavioral Analysis of Geochemical Elements in Mineral Exploration, LAP LAMBERT Academic Publishing."},{"key":"ref_48","unstructured":"Beale, M.Y., Hagan, M.T., and Demuth, H.B. (2010). Neural Network Toolbox User\u2019s Guide, The MathWorks."},{"key":"ref_49","doi-asserted-by":"crossref","first-page":"568","DOI":"10.1109\/72.97934","article-title":"A General Regression Neural Network","volume":"2","author":"Specht","year":"1991","journal-title":"IEEE Trans. Neural Netw."},{"key":"ref_50","doi-asserted-by":"crossref","first-page":"184","DOI":"10.1016\/j.measurement.2016.02.037","article-title":"Application of general regression neural network (GRNN) for indirect measuring pressure loss of Herschel\u2013Bulkley drilling fluids in oil drilling","volume":"85","author":"Rooki","year":"2016","journal-title":"Measurement"},{"key":"ref_51","first-page":"77","article-title":"Estimation of grade Gold in khooni deposit using the behavior of gold, Arsenic and Antimony elements by clustering K-means method","volume":"5","author":"Mohammadi","year":"2015","journal-title":"J. Anal. Numer. Methods Min. Eng."}],"container-title":["Minerals"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.mdpi.com\/2075-163X\/11\/12\/1304\/pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T07:34:46Z","timestamp":1760168086000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.mdpi.com\/2075-163X\/11\/12\/1304"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,11,23]]},"references-count":51,"journal-issue":{"issue":"12","published-online":{"date-parts":[[2021,12]]}},"alternative-id":["min11121304"],"URL":"https:\/\/doi.org\/10.3390\/min11121304","relation":{},"ISSN":["2075-163X"],"issn-type":[{"value":"2075-163X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2021,11,23]]}}}