Estimation of Mineral Resources with Machine Learning Techniques

Estimation of Mineral Resources with Machine Learning Techniques

In this study, the application of adaptive fuzzy inference systems (ANFISs) and artificial neural networks (NNs) for grade and reserve estimation of a copper deposit was studied. More specifically, a feedforward NN with backpropagation and two Sugeno- type ANFIS were developed for grade and reserve...

Full description

Bibliographic Details
Main Authors:	Michael Galetakis, Anthoula Vasileiou, Antonia Rogdaki, Vasilios Deligiorgis, Stella Raka
Format:	Article
Language:	English
Published:	MDPI AG 2022-03-01
Series:	Materials Proceedings
Subjects:	mineral resources reserve estimation artificial neural networks adaptive neuro-fuzzy inference systems
Online Access:	https://www.mdpi.com/2673-4605/5/1/122

Similar Items

Parameters estimation of squirrel-cage induction motors using ANN and ANFIS
by: Mehdi Ahmadi Jirdehi, et al.
Published: (2016-03-01)

Application of machine learning to predict of energy use efficiency and damage assessment of almond and walnut production
by: Mehrdad Salimi Beni, et al.
Published: (2023-12-01)

DEVELOPMENT OF ELECTRONIC NOSE FOR CLASSIFICATION OF AROMATIC HERBS USING ARTIFICIAL INTELLIGENT TECHNIQUES
by: A. CHE SOH, et al.
Published: (2018-10-01)

Mineral resources of Slovakia, questions of classification and valuation
by: Baláž Peter, et al.
Published: (1999-06-01)

Daily Rainfall Estimation using ANFIS Combination Models Trained by Clustering of Fuzzy c-Means and Evolutionary Algorithms
by: Mohammad Najafzadeh, et al.
Published: (2021-06-01)

Comparing the Performance of Artificial Intelligence Models in Estimating Water Quality Parameters in Periods of Low and High Water Flow
by: majid montaseri, et al.
Published: (2017-03-01)

Spatial modeling of flood hazard using machine learning and GIS in Ha Tinh province, Vietnam
by: Huu Duy Nguyen
Published: (2023-01-01)

Comparison of the Artificial Intelligence Techniques and the Muskingum Methods in Flood Routing Estimation
by: f. h, et al.
Published: (2014-08-01)

Early Prediction in Classification of Cardiovascular Diseases with Machine Learning, Neuro-Fuzzy and Statistical Methods
by: Osman Taylan, et al.
Published: (2023-01-01)

Accurate prediction of dynamic viscosity of polyalpha-olefin boron nitride nanofluids using machine learning
by: Yazeed AbuShanab, et al.
Published: (2023-06-01)

Illuminant Estimation Using Adaptive Neuro-Fuzzy Inference System
by: Yunhui Luo, et al.
Published: (2021-10-01)

Examining energy use efficiency and conducting an environmental life cycle assessment through the application of artificial intelligence: A case study on the production of cumin and fennel
by: Jahangir Mirzaei, et al.
Published: (2023-12-01)

Applying Adaptive Neuro-Fuzzy Inference System and Artificial Neural Network to the Prediction of Quality changes of Hawthorn Fruit (Crataegus pinnatifida) during Various Storage Conditions
by: M Zandi, et al.
Published: (2021-09-01)

Comparison of Artificial Neural Networks (ANN) and Adaptive Neuro-Fuzzy Inference System (ANFIS) Models in Simulating Polygalacturonase Production
by: Sibel Uzuner, et al.
Published: (2016-08-01)

Machine Learning—A Review of Applications in Mineral Resource Estimation
by: Nelson K. Dumakor-Dupey, et al.
Published: (2021-07-01)

Designing a prediction model and determining the level of AJA championship sports using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Amir Hamzehe Alinejad, et al.
Published: (2022-02-01)

Artificial Intelligent Modeling and Optimizing of an Industrial Hydrocracker Plant
by: Yasser Vasseghian, et al.
Published: (2014-12-01)

Reliable Time Contingency Estimation Based on Adaptive Neuro-Fuzzy Inference System in Construction Projects
by: Tanitchet Doungsoma, et al.
Published: (2023-01-01)

Prediction of the Subgrade Soil California Bearing Ratio Using Machine Learning and Neuro-Fuzzy Inference System Techniques: A Sustainable Approach in Urban Infrastructure Development
by: Sachin Gowda, et al.
Published: (2024-01-01)

Application of ANFIS, ELM, and ANN models to assess water productivity indicators based on agronomic techniques in the Lake Urmia Basin
by: Somayeh Emami, et al.
Published: (2022-12-01)

An Adaptive Neuro-Fuzzy Model for Attitude Estimation and Control of a 3 DOF System
by: Xin Wang, et al.
Published: (2022-03-01)

Prediction of Breast Cancer Metastasis Using Fuzzy Models based on Data from Iranian Breast Cancer Patients
by: Arezou HomaieFasih, et al.
Published: (2020-09-01)

Prediction kinetic, energy and exergy of quince under hot air dryer using ANNs and ANFIS
by: Yousef Abbaspour‐Gilandeh, et al.
Published: (2020-01-01)

Using an Adaptive Neuro-Fuzzy Inference System to Predict Dilution Characteristics of Vertical Buoyant Jets Subjected to Lateral Confinement
by: Yufeng Zhao, et al.
Published: (2022-03-01)

Selection of a Proper Model to Predict Monthly Drought in Semnan Using Weather Data and Linear and Nonlinear Models
by: M. Sadeghian, et al.
Published: (2018-02-01)

Application of ANN and ANFIS Models in Determining Compressive Strength of Concrete
by: Zahra Keshavarz, et al.
Published: (2018-01-01)

Symmetric Nonlinear Feedback Control and Machine Learning for Sustainable Spherical Motor Operation
by: Marwa Hassan, et al.
Published: (2023-08-01)

Deteksi Tingkat Keparahan Cedera Panggul Menggunakan ANFIS
by: Adam Fahmi Khariri, et al.
Published: (2022-10-01)

Performance Forecasting of Sugarcane Fields using Adaptive Neuro-Fuzzy Inference System (ANFIS)
by: Maryam Ahmadvand, et al.
Published: (2013-02-01)

Enhancing Thermo-Acoustic Waste Heat Recovery through Machine Learning: A Comparative Analysis of Artificial Neural Network–Particle Swarm Optimization, Adaptive Neuro Fuzzy Inference System, and Artificial Neural Network Models
by: Miniyenkosi Ngcukayitobi, et al.
Published: (2024-01-01)

Performance of adaptive neural-fuzzy inference system in predicting household waste production in Tabriz, Iran
by: Samira Bagheri, et al.
Published: (2023-03-01)

Strong Convergence of Neuro-Fuzzy Learning With Adaptive Momentum for Complex System
by: Yan Liu, et al.
Published: (2019-01-01)

Estimation of the Solid Circulation Rate in Circulating Fluidized Bed System Using Adaptive Neuro-Fuzzy Algorithm
by: Aamer Bilal Asghar, et al.
Published: (2021-12-01)

Performance Evaluation of the Impact of Clustering Methods and Parameters on Adaptive Neuro-Fuzzy Inference System Models for Electricity Consumption Prediction during COVID-19
by: Stephen Oladipo, et al.
Published: (2022-10-01)

AN APPLICATION OF SOFT COMPUTING TECHNIQUES TO PREDICT DYNAMIC BEHAVIOUR OF MOORING SYSTEMS
by: Ayhan Mentes, et al.
Published: (2022-01-01)

A Comparative Study of Forecasting Electricity Consumption Using Machine Learning Models
by: Madeline Hui Li Lee, et al.
Published: (2022-04-01)

Evaluation of optimization techniques in predicting optimum moisture content reduction in drying potato slices
by: Chijioke Elijah Onu, et al.
Published: (2020-01-01)

An alternative respiratory sounds classification system utilizing artificial neural networks
by: Rami J Oweis, et al.
Published: (2015-04-01)

Modelling of Nicotiana Tabacum L. Oil Biodiesel Production: Comparison of ANN and ANFIS
by: Olusegun D. Samuel, et al.
Published: (2021-01-01)

Short-term wind speed forecasting by an adaptive network-based fuzzy inference system (ANFIS): an attempt towards an ensemble forecasting method
by: Moslem Yousefi, et al.
Published: (2015-12-01)