Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method
Published 2022 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Optimization of support vector machine parameters in modeling of Iju deposit mineralization and alteration zones using particle swarm optimization algorithm and grid search method
Authors
Keywords
-
Journal
COMPUTERS & GEOSCIENCES
Volume 165, Issue -, Pages 105140
Publisher
Elsevier BV
Online
2022-05-20
DOI
10.1016/j.cageo.2022.105140
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Supervised mineral exploration targeting and the challenges with the selection of deposit and non-deposit sites thereof
- (2021) Hossain Rahimi et al. APPLIED GEOCHEMISTRY
- A data augmentation approach to XGboost-based mineral potential mapping: An example of carbonate-hosted Zn Pb mineral systems of Western Iran
- (2021) Mohammad Parsa JOURNAL OF GEOCHEMICAL EXPLORATION
- Modulating the Impacts of Stochastic Uncertainties Linked to Deposit Locations in Data-Driven Predictive Mapping of Mineral Prospectivity
- (2021) Mohammad Parsa et al. Natural Resources Research
- Data analysis methods for prospectivity modelling as applied to mineral exploration targeting: State-of-the-art and outlook
- (2021) Mahyar Yousefi et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- Assessing the effects of mineral systems-derived exploration targeting criteria for random Forests-based predictive mapping of mineral prospectivity in Ahar-Arasbaran area, Iran
- (2021) Mohammad Parsa et al. ORE GEOLOGY REVIEWS
- Cat Swarm Optimization Algorithm: A Survey and Performance Evaluation
- (2020) Aram M. Ahmed et al. Computational Intelligence and Neuroscience
- Deep learning-based appearance features extraction for automated carp species identification
- (2020) Ashkan Banan et al. AQUACULTURAL ENGINEERING
- Hybrid geological modeling: Combining machine learning and multiple-point statistics
- (2020) Tao Bai et al. COMPUTERS & GEOSCIENCES
- Introduction to the special issue on spatial modelling and analysis of ore-forming processes in mineral exploration targeting
- (2020) Oliver P. Kreuzer et al. ORE GEOLOGY REVIEWS
- Integration of cuckoo search and fuzzy support vector machine for intelligent diagnosis of production process quality
- (2020) Huiqin Zhang et al. Journal of Industrial and Management Optimization
- Hyperspectral image classification with SVM and guided filter
- (2019) Yanhui Guo et al. EURASIP Journal on Wireless Communications and Networking
- Determination of Young's modulus of jet grouted coalcretes using an intelligent model
- (2019) Yuantian Sun et al. ENGINEERING GEOLOGY
- Can hyperparameter tuning improve the performance of a super learner? A case study
- (2019) Jenna Wong et al. EPIDEMIOLOGY
- The Tabu_Genetic Algorithm: A Novel Method for Hyper-Parameter Optimization of Learning Algorithms
- (2019) Guo et al. Electronics
- Speed up grid-search for parameter selection of support vector machines
- (2019) Hatem A. Fayed et al. APPLIED SOFT COMPUTING
- GIS-based mineral prospectivity mapping using machine learning methods: A case study from Tongling ore district, eastern China
- (2019) Tao Sun et al. ORE GEOLOGY REVIEWS
- 3D mineral potential modelling of gold distribution at the Tampia gold deposit
- (2019) S.H.H. Nielsen et al. ORE GEOLOGY REVIEWS
- Urban waterlogging susceptibility assessment based on a PSO-SVM method using a novel repeatedly random sampling idea to select negative samples
- (2019) Xianzhe Tang et al. JOURNAL OF HYDROLOGY
- Three-dimensional site characterization with borehole data – A case study of Suzhou area
- (2018) Guoxing Chen et al. ENGINEERING GEOLOGY
- 3D geological modeling for complex aquifer system conception and groundwater storage assessment: Case of Sisseb El Alem Nadhour Saouaf basin, northeastern Tunisia
- (2018) Mohamed Hamdi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- Application of support vector machine for the separation of mineralised zones in the Takht-e-Gonbad porphyry deposit, SE Iran
- (2018) Neda Mahvash Mohammadi et al. JOURNAL OF AFRICAN EARTH SCIENCES
- Section-constrained local geological interface dynamic updating method based on the HRBF surface
- (2018) Jiateng Guo et al. JOURNAL OF STRUCTURAL GEOLOGY
- Predicting rock type and detecting hydrothermal alteration using machine learning and petrophysical properties of the Canadian Malartic ore and host rocks, Pontiac Subprovince, Québec, Canada
- (2018) Charles L. Bérubé et al. ORE GEOLOGY REVIEWS
- Geochemistry, U-Pb geochronology and Sr-Nd isotopes of the Neogene igneous rocks, at the Iju porphyry copper deposit, NW Shahr-e-Babak, Iran
- (2018) Malihe Golestani et al. ORE GEOLOGY REVIEWS
- Classification of Hyperspectral Images by SVM Using a Composite Kernel by Employing Spectral, Spatial and Hierarchical Structure Information
- (2018) et al. Remote Sensing
- Machine learning strategies for classification and prediction of alteration facies: Examples from the Rosemont Cu-Mo-Ag skarn deposit, SE Tucson Arizona
- (2018) Juan C. Ordóñez-Calderón et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- A new hybrid firefly algorithm and particle swarm optimization for tuning parameter estimation in penalized support vector machine with application in chemometrics
- (2018) Niam Abdulmunim Al-Thanoon et al. CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS
- Application of support vector machines for copper potential mapping in Kerman region, Iran
- (2017) Mahdi Shabankareh et al. JOURNAL OF AFRICAN EARTH SCIENCES
- A BA-based algorithm for parameter optimization of Support Vector Machine
- (2017) Alaa Tharwat et al. PATTERN RECOGNITION LETTERS
- Cancer Feature Selection and Classification Using a Binary Quantum-Behaved Particle Swarm Optimization and Support Vector Machine
- (2016) Maolong Xi et al. Computational and Mathematical Methods in Medicine
- Application of time series analysis and PSO–SVM model in predicting the Bazimen landslide in the Three Gorges Reservoir, China
- (2016) Chao Zhou et al. ENGINEERING GEOLOGY
- Proposing drilling locations based on the 3D modeling results of fluid inclusion data using the support vector regression method
- (2016) Maliheh Abbaszadeh et al. JOURNAL OF GEOCHEMICAL EXPLORATION
- A 3D geological model for the Ruiz-Tolima Volcanic Massif (Colombia): Assessment of geological uncertainty using a stochastic approach based on Bézier curve design
- (2016) Javier González-Garcia et al. TECTONOPHYSICS
- Data selection based on decision tree for SVM classification on large data sets
- (2015) Jair Cervantes et al. APPLIED SOFT COMPUTING
- ANN-based interval forecasting of streamflow discharges using the LUBE method and MOFIPS
- (2015) Riccardo Taormina et al. ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
- Classification of alteration zones based on whole-rock geochemical data using support vector machine
- (2015) Maliheh Abbaszadeh et al. JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA
- Regional dome evolution and its control on ore-grade distribution: Insights from 3D implicit modelling of the Navachab gold deposit, Namibia
- (2015) Stefan A. Vollgger et al. ORE GEOLOGY REVIEWS
- Temporal–spatial distribution and tectonic setting of porphyry copper deposits in Iran: Constraints from zircon U–Pb and molybdenite Re–Os geochronology
- (2015) Mehraj Aghazadeh et al. ORE GEOLOGY REVIEWS
- An SVM-based machine learning method for the separation of alteration zones in Sungun porphyry copper deposit
- (2013) Maliheh Abbaszadeh et al. CHEMIE DER ERDE-GEOCHEMISTRY
- LINKING Cu MINERALIZATION TO HOST PORPHYRY EMPLACEMENT: Re-Os AGES OF MOLYBDENITES VERSUS U-Pb AGES OF ZIRCONS AND SULFUR ISOTOPE COMPOSITIONS OF PYRITE AND CHALCOPYRITE FROM THE IJU AND SARKUH PORPHYRY DEPOSITS IN SOUTHEAST IRAN
- (2013) H. Mirnejad et al. ECONOMIC GEOLOGY
- Solving structural engineering design optimization problems using an artificial bee colony algorithm
- (2013) Harish Garg Journal of Industrial and Management Optimization
- Structural Design Optimization of Vehicle Components Using Cuckoo Search Algorithm
- (2013) İsmail Durgun et al. Materials Testing
- Hybrid self-adaptive learning based particle swarm optimization and support vector regression model for grade estimation
- (2013) Xiao-li Li et al. NEUROCOMPUTING
- Support vector machine for multi-classification of mineral prospectivity areas
- (2012) Maysam Abedi et al. COMPUTERS & GEOSCIENCES
- LIBSVM
- (2012) Chih-Chung Chang et al. ACM Transactions on Intelligent Systems and Technology
- Towards automatic lithological classification from remote sensing data using support vector machines
- (2011) Le Yu et al. COMPUTERS & GEOSCIENCES
- A tutorial on support vector machine-based methods for classification problems in chemometrics
- (2010) Jan Luts et al. ANALYTICA CHIMICA ACTA
- GSIS: A 3D geological multi-body modeling system from netty cross-sections with topology
- (2010) Jing Ming et al. COMPUTERS & GEOSCIENCES
- Support vector machine: A tool for mapping mineral prospectivity
- (2010) Renguang Zuo et al. COMPUTERS & GEOSCIENCES
- Fault detection and diagnosis of an industrial steam turbine using fusion of SVM (support vector machine) and ANFIS (adaptive neuro-fuzzy inference system) classifiers
- (2010) Karim Salahshoor et al. ENERGY
- Hybrid of simulated annealing and SVM for hydraulic valve characteristics prediction
- (2010) Zhen-yuan Jia et al. EXPERT SYSTEMS WITH APPLICATIONS
- Effect of number of features on classification of roller bearing faults using SVM and PSVM
- (2010) V. Sugumaran et al. EXPERT SYSTEMS WITH APPLICATIONS
- Tuning SVM parameters by using a hybrid CLPSO–BFGS algorithm
- (2010) Shutao Li et al. NEUROCOMPUTING
- Parameter determination of support vector machine and feature selection using simulated annealing approach
- (2007) Shih-Wei Lin et al. APPLIED SOFT COMPUTING
- A distributed PSO–SVM hybrid system with feature selection and parameter optimization
- (2007) Cheng-Lung Huang et al. APPLIED SOFT COMPUTING
Add your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload NowCreate your own webinar
Interested in hosting your own webinar? Check the schedule and propose your idea to the Peeref Content Team.
Create Now