Application of support vector machine for the separation of mineralised zones in the Takht-e-Gonbad porphyry deposit, SE Iran
Author:
Publisher
Elsevier BV
Subject
Earth-Surface Processes,Geology
Reference64 articles.
1. An SVM-based machine learning method for the separation of alteration zones in Sungun porphyry copper deposit;Abbaszadeh;Chemie der Erde - Geochemistry,2013
2. Support vector machine for multi-classification of mineral prospectivity areas;Abedi;Comput. Geosci.,2012
3. Delineation of gold mineralised zones using concentration – volume fractal model in Qolqoleh gold deposit, NW Iran;Afzal;Ore Geol. Rev.,2013
4. Delineation of supergene enrichment, hypogene and oxidation zones utilizing staged factor analysis and fractal modeling in Takht-e-Gonbad porphyry deposit, SE Iran;Afzal;J. Geochem. Explor.,2016
5. Geochemical anomaly separation by multifractal modeling in Kahang (Gor Gor) porphyry system, Central Iran;Afzal;J. Geochem. Explor.,2010
Cited by 23 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Comparison of support vector machines (SVMs) and the learning vector quantization (LVQ) techniques for geological domaining: a case study from Darehzar porphyry copper deposit, SE Iran;Earth Science Informatics;2024-08-23
2. Geological Study Based on Multispectral and Hyperspectral Remote Sensing: A Case Study of the Mahuaping Beryllium–Tungsten Deposit Area in Shangri-La;Sustainability;2024-07-25
3. Magnetite Talks: Testing Machine Learning Models to Untangle Ore Deposit Classification—A Case Study in the Ossa-Morena Zone (Portugal, SW Iberia);Minerals;2023-07-29
4. A new gold grade estimation approach by using support vector machine (SVM) and back propagation neural network (BPNN)- A Case study: Dalli deposit, Iran;2023-07-26
5. Machine Learning and EPCA Methods for Extracting Lithology–Alteration Multi-Source Geological Elements: A Case Study in the Mining Evaluation of Porphyry Copper Ores in the Gondwana Metallogenic Belt;Minerals;2023-06-25
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3