Estimating Ore Grade Using Evolutionary Machine Learning Models

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Publisher : Springer Nature
ISBN 13 : 981198106X
Total Pages : 109 pages
Book Rating : 4.8/5 (119 download)

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Book Synopsis Estimating Ore Grade Using Evolutionary Machine Learning Models by : Mohammad Ehteram

Download or read book Estimating Ore Grade Using Evolutionary Machine Learning Models written by Mohammad Ehteram and published by Springer Nature. This book was released on 2022-12-27 with total page 109 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book examines the abilities of new machine learning models for predicting ore grade in mining engineering. A variety of case studies are examined in this book. A motivation for preparing this book was the absence of robust models for estimating ore grade. Models of current books can also be used for the different sciences because they have high capabilities for estimating different variables. Mining engineers can use the book to determine the ore grade accurately. This book helps identify mineral-rich regions for exploration and exploitation. Exploration costs can be decreased by using the models in the current book. In this book, the author discusses the new concepts in mining engineering, such as uncertainty in ore grade modeling. Ensemble models are presented in this book to estimate ore grade. In the book, readers learn how to construct advanced machine learning models for estimating ore grade. The authors of this book present advanced and hybrid models used to estimate ore grade instead of the classic methods such as kriging. The current book can be used as a comprehensive handbook for estimating ore grades. Industrial managers and modelers can use the models of the current books. Each level of ore grade modeling is explained in the book. In this book, advanced optimizers are presented to train machine learning models. Therefore, the book can also be used by modelers in other fields. The main motivation of this book is to address previous shortcomings in the modeling process of ore grades. The scope of this book includes mining engineering, soft computing models, and artificial intelligence.

Predictive Performance of Machine Learning Algorithms for Ore Reserve Estimation in Sparse and Imprecise Data

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Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.:/5 (725 download)

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Book Synopsis Predictive Performance of Machine Learning Algorithms for Ore Reserve Estimation in Sparse and Imprecise Data by : Sridhar Dutta

Download or read book Predictive Performance of Machine Learning Algorithms for Ore Reserve Estimation in Sparse and Imprecise Data written by Sridhar Dutta and published by . This book was released on 2006 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traditional geostatistical estimation techniques have been used predominantly in the mining industry for the purpose of ore reserve estimation. Determination of mineral reserve has always posed considerable challenge to mining engineers due to geological complexities that are generally associated with the phenomenon of ore body formation. Considerable research over the years has resulted in the development of a number of state-of-the-art methods for the task of predictive spatial mapping such as ore reserve estimation. Recent advances in the use of the machine learning algorithms (MLA) have provided a new approach to solve the age-old problem. Therefore, this thesis is focused on the use of two MLA, viz. the neural network (NN) and support vector machine (SVM), for the purpose of ore reserve estimation. Application of the MLA have been elaborated with two complex drill hole datasets. The first dataset is a placer gold drill hole data characterized by high degree of spatial variability, sparseness and noise while the second dataset is obtained from a continuous lode deposit. The application and success of the models developed using these MLA for the purpose of ore reserve estimation depends to a large extent on the data subsets on which they are trained and subsequently on the selection of the appropriate model parameters. The model data subsets obtained by random data division are not desirable in sparse data conditions as it usually results in statistically dissimilar subsets, thereby reducing their applicability. Therefore, an ideal technique for data subdivision has been suggested in the thesis. Additionally, issues pertaining to the optimum model development have also been discussed. To investigate the accuracy and the applicability of the MLA for ore reserve estimation, their generalization ability was compared with the geostatistical ordinary kriging (OK) method. The analysis of Mean Square Error (MSE), Mean Absolute Error (MAE), Mean Error (ME) and the coefficient of determination (R2) as the indices of the model performance indicated that they may significantly improve the predictive ability and thereby reduce the inherent risk in ore reserve estimation"--Leaf iii.

Estimating Mineral Distribution Using Machine Learning Models

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Publisher :
ISBN 13 :
Total Pages : 42 pages
Book Rating : 4.:/5 (114 download)

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Book Synopsis Estimating Mineral Distribution Using Machine Learning Models by : Hoon Seo

Download or read book Estimating Mineral Distribution Using Machine Learning Models written by Hoon Seo and published by . This book was released on 2019 with total page 42 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Neural-network Modelling of Placer Ore Grade Spatial Variability

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Publisher :
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.:/5 (56 download)

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Book Synopsis Neural-network Modelling of Placer Ore Grade Spatial Variability by : Jinchuan Ke

Download or read book Neural-network Modelling of Placer Ore Grade Spatial Variability written by Jinchuan Ke and published by . This book was released on 2002 with total page 502 pages. Available in PDF, EPUB and Kindle. Book excerpt: "Traditional geostatistical methods have been used in ore reserve estimation for decades. Research in the last two decades or so has added a number of other statistical methodologies for ore reserve estimation procedures. Recent advances in neural networks have provided a new approach to solve this problem. This thesis is focused on the Neural-network modeling for the estimation of placer ore reserve. Due to the spatial variability, multiple dimensional inputs and very noisy drill hole sample data from the selected region, it requires that the neural-network be organized in a multiple-layers to handle the non-linearity and hidden slabs for smoothing the predicted results. Various neural-network architectures are investigated and the Back-propagation is selected for modeling the ore reserve estimation problem. Sensitivity analysis is performed for the following parameters: the type of neural-network architecture, number of hidden layers and hidden neurons, type of activation functions, learning rate and momentum factors, input pattern schedule, weight updated, and so on. The influences of these parameters on the predicted output are analyzed in details and the optimal parameters are determined. To investigate the accuracy and promise of neural network modeling as a tool for ore reserve estimation, the ore grade and tonnage of Neural-network output is compared with those estimated by geostatistical methods under various cut-off grades. In addition, the overall performance is also validated by the analysis of R-squared (R2), Root-Mean-Squared (RMS), and the comparison between predicted values and 'actual' values. As the final part of this study, the optimized Neural Network was used to esimate the distribution of placer gold grade and volume of gold resource in offshore Nome. The predicted results for all the mining blocks in the lease area are validated by checking the values of RMS, R2, and Scatter plots. The estimated gold grades are also presented as contour maps for visualization"--Leaf iii.

Application of Artificial Neural Network Systems to Ore Grade Estimation from Exploration Data

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Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)

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Book Synopsis Application of Artificial Neural Network Systems to Ore Grade Estimation from Exploration Data by : Ioannis K. Kapageridis

Download or read book Application of Artificial Neural Network Systems to Ore Grade Estimation from Exploration Data written by Ioannis K. Kapageridis and published by . This book was released on 1999 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geostatistical Ore Reserve Estimation

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Publisher : Elsevier Science
ISBN 13 : 9780444564856
Total Pages : 0 pages
Book Rating : 4.5/5 (648 download)

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Book Synopsis Geostatistical Ore Reserve Estimation by : M. David

Download or read book Geostatistical Ore Reserve Estimation written by M. David and published by Elsevier Science. This book was released on 1982-01-01 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developments in Geomathematics, 2: Geostatistical Ore Reserve Estimation focuses on the methodologies, processes, and principles involved in geostatistical ore reserve estimation, including the use of variogram, sampling, theoretical models, and variances and covariances. The publication first takes a look at elementary statistical theory and applications; contribution of distributions to mineral reserves problems; and evaluation of methods used in ore reserve calculations. Concerns cover estimation problems during a mine life, origin and credentials of geostatistics, precision of a sampling campaign and prediction of the effect of further sampling, exercises on grade-tonnage curves, theoretical models of distributions, and computational remarks on variances and covariances. The text then examines variogram and the practice of variogram modeling. Discussions focus on solving problems in one dimension, linear combinations and average values, theoretical models of isotropic variograms, the variogram as a geological features descriptor, and the variogram as the fundamental function in error computations. The manuscript ponders on statistical problems in sample preparation, orebody modeling, grade-tonnage curves, ore-waste selection, and planning problems, the practice of kriging, and the effective computation of block variances. The text is a valuable source of data for researchers interested in geostatistical ore reserve estimation.

Mineral Resource Estimation

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Publisher : Springer Science & Business Media
ISBN 13 : 1402057172
Total Pages : 337 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis Mineral Resource Estimation by : Mario E. Rossi

Download or read book Mineral Resource Estimation written by Mario E. Rossi and published by Springer Science & Business Media. This book was released on 2013-12-21 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mineral resource estimation has changed considerably in the past 25 years: geostatistical techniques have become commonplace and continue to evolve; computational horsepower has revolutionized all facets of numerical modeling; mining and processing operations are often larger; and uncertainty quantification is becoming standard practice. Recent books focus on historical methods or details of geostatistical theory. So there is a growing need to collect and synthesize the practice of modern mineral resource estimation into a book for undergraduate students, beginning graduate students, and young geologists and engineers. It is especially fruitful that this book is written by authors with years of relevant experience performing mineral resource estimation and with years of relevant teaching experience. This comprehensive textbook and reference fills this need.

Bulletin of the Atomic Scientists

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Publisher :
ISBN 13 :
Total Pages : 116 pages
Book Rating : 4./5 ( download)

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Book Synopsis Bulletin of the Atomic Scientists by :

Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1970-06 with total page 116 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

Bulletin of the Atomic Scientists

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Publisher :
ISBN 13 :
Total Pages : 64 pages
Book Rating : 4./5 ( download)

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Book Synopsis Bulletin of the Atomic Scientists by :

Download or read book Bulletin of the Atomic Scientists written by and published by . This book was released on 1973-10 with total page 64 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Bulletin of the Atomic Scientists is the premier public resource on scientific and technological developments that impact global security. Founded by Manhattan Project Scientists, the Bulletin's iconic "Doomsday Clock" stimulates solutions for a safer world.

An Introduction to Machine Learning

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Publisher : Springer
ISBN 13 : 3319639137
Total Pages : 348 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis An Introduction to Machine Learning by : Miroslav Kubat

Download or read book An Introduction to Machine Learning written by Miroslav Kubat and published by Springer. This book was released on 2017-08-31 with total page 348 pages. Available in PDF, EPUB and Kindle. Book excerpt: This textbook presents fundamental machine learning concepts in an easy to understand manner by providing practical advice, using straightforward examples, and offering engaging discussions of relevant applications. The main topics include Bayesian classifiers, nearest-neighbor classifiers, linear and polynomial classifiers, decision trees, neural networks, and support vector machines. Later chapters show how to combine these simple tools by way of “boosting,” how to exploit them in more complicated domains, and how to deal with diverse advanced practical issues. One chapter is dedicated to the popular genetic algorithms. This revised edition contains three entirely new chapters on critical topics regarding the pragmatic application of machine learning in industry. The chapters examine multi-label domains, unsupervised learning and its use in deep learning, and logical approaches to induction. Numerous chapters have been expanded, and the presentation of the material has been enhanced. The book contains many new exercises, numerous solved examples, thought-provoking experiments, and computer assignments for independent work.

The Practical Handbook of Genetic Algorithms

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Publisher : CRC Press
ISBN 13 : 1420050079
Total Pages : 464 pages
Book Rating : 4.4/5 (2 download)

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Book Synopsis The Practical Handbook of Genetic Algorithms by : Lance D. Chambers

Download or read book The Practical Handbook of Genetic Algorithms written by Lance D. Chambers and published by CRC Press. This book was released on 2019-09-17 with total page 464 pages. Available in PDF, EPUB and Kindle. Book excerpt: The mathematics employed by genetic algorithms (GAs)are among the most exciting discoveries of the last few decades. But what exactly is a genetic algorithm? A genetic algorithm is a problem-solving method that uses genetics as its model of problem solving. It applies the rules of reproduction, gene crossover, and mutation to pseudo-organism

Evolutionary and Revolutionary Technologies for Mining

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Publisher : National Academies Press
ISBN 13 : 0309169836
Total Pages : 102 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Evolutionary and Revolutionary Technologies for Mining by : National Research Council

Download or read book Evolutionary and Revolutionary Technologies for Mining written by National Research Council and published by National Academies Press. This book was released on 2002-03-14 with total page 102 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Office of Industrial Technologies (OIT) of the U. S. Department of Energy commissioned the National Research Council (NRC) to undertake a study on required technologies for the Mining Industries of the Future Program to complement information provided to the program by the National Mining Association. Subsequently, the National Institute for Occupational Safety and Health also became a sponsor of this study, and the Statement of Task was expanded to include health and safety. The overall objectives of this study are: (a) to review available information on the U.S. mining industry; (b) to identify critical research and development needs related to the exploration, mining, and processing of coal, minerals, and metals; and (c) to examine the federal contribution to research and development in mining processes.

Applied Geostatistics with SGeMS

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Publisher : Cambridge University Press
ISBN 13 : 1139473468
Total Pages : 302 pages
Book Rating : 4.1/5 (394 download)

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Book Synopsis Applied Geostatistics with SGeMS by : Nicolas Remy

Download or read book Applied Geostatistics with SGeMS written by Nicolas Remy and published by Cambridge University Press. This book was released on 2011-04-14 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Stanford Geostatistical Modeling Software (SGeMS) is an open-source computer package for solving problems involving spatially related variables. It provides geostatistics practitioners with a user-friendly interface, an interactive 3-D visualization, and a wide selection of algorithms. This practical book provides a step-by-step guide to using SGeMS algorithms. It explains the underlying theory, demonstrates their implementation, discusses their potential limitations, and helps the user make an informed decision about the choice of one algorithm over another. Users can complete complex tasks using the embedded scripting language, and new algorithms can be developed and integrated through the SGeMS plug-in mechanism. SGeMS was the first software to provide algorithms for multiple-point statistics, and the book presents a discussion of the corresponding theory and applications. Incorporating the full SGeMS software (now available from www.cambridge.org/9781107403246), this book is a useful user-guide for Earth Science graduates and researchers, as well as practitioners of environmental mining and petroleum engineering.

Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019

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Publisher : Springer Nature
ISBN 13 : 3030339548
Total Pages : 515 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 by : Erkan Topal

Download or read book Proceedings of the 28th International Symposium on Mine Planning and Equipment Selection - MPES 2019 written by Erkan Topal and published by Springer Nature. This book was released on 2019-11-29 with total page 515 pages. Available in PDF, EPUB and Kindle. Book excerpt: This conference proceedings presents the research papers in the field of mine planning and mining equipment including themes such as mine automation, rock mechanics, drilling, blasting, tunnelling and excavation engineering. The papers presents the recent advancement and the application of a range of technologies in the field of mining industry. It is of interest to the professionals who practice in mineral industry including but not limited to engineers, consultants, managers, academics, scientist, and government staff.

Basic Steps in Geostatistics: The Variogram and Kriging

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Publisher : Springer
ISBN 13 : 3319158651
Total Pages : 106 pages
Book Rating : 4.3/5 (191 download)

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Book Synopsis Basic Steps in Geostatistics: The Variogram and Kriging by : Margaret A. Oliver

Download or read book Basic Steps in Geostatistics: The Variogram and Kriging written by Margaret A. Oliver and published by Springer. This book was released on 2015-03-30 with total page 106 pages. Available in PDF, EPUB and Kindle. Book excerpt: This brief will provide a bridge in succinct form between the geostatistics textbooks and the computer manuals for `push-button' practice. It is becoming increasingly important for practitioners, especially neophytes, to understand what underlies modern geostatistics and the currently available software so that they can choose sensibly and draw correct conclusions from their analysis and mapping. The brief will contain some theory, but only that needed for practitioners to understand the essential steps in analyses. It will guide readers sequentially through the stages of properly designed sampling, exploratory data analysis, variography (computing the variogram and modelling it), followed by ordinary kriging and finally mapping kriged estimates and their errors. There will be short section on trend and universal kriging. Other types of kriging will be mentioned so that readers can delve further in the substantive literature to tackle more complex tasks.

Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development

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Publisher : Elsevier
ISBN 13 : 0128239999
Total Pages : 544 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development by : A. K. Moitra

Download or read book Innovative Exploration Methods for Minerals, Oil, Gas, and Groundwater for Sustainable Development written by A. K. Moitra and published by Elsevier. This book was released on 2021-12-03 with total page 544 pages. Available in PDF, EPUB and Kindle. Book excerpt: Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development provides an integrated approach to exploration encompassing geology, geophysics, mining, and mineral processing. In addition, groundwater exploration is included, as it is central to the development of earth resources. As the demand for coal, minerals, oil and gas, and water continues to grow globally, researchers must prioritize sustainable exploration methods. Old technologies are being replaced speedily and exploration work has become fast, focused, meaningful, and readily reproducible keeping in pace with the changing global scenario. The themes of exploration of energy resources, exploration of minerals, groundwater exploration and processing and mineral engineering are separated out into sections and chapters included in these sections include case studies focusing on tools and techniques for exploration. Innovative Exploration Methods for Mineral, Oil, Gas, and Groundwater for Sustainable Development gives insight to modern concepts of exploration for those working in the various fields of energy, mineral, and groundwater exploration. Presents innovative research that will both challenge and complement the traditional concepts of exploration Covers a wide range of instruments and their applications, as well as the tools and processes that need to be followed for modern exploration work Includes research on groundwater exploration with a focus on conservation and sustainable exploration and development

Out Of Control

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Publisher : Basic Books
ISBN 13 : 078674703X
Total Pages : 528 pages
Book Rating : 4.7/5 (867 download)

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Book Synopsis Out Of Control by : Kevin Kelly

Download or read book Out Of Control written by Kevin Kelly and published by Basic Books. This book was released on 2009-04-30 with total page 528 pages. Available in PDF, EPUB and Kindle. Book excerpt: Out of Control chronicles the dawn of a new era in which the machines and systems that drive our economy are so complex and autonomous as to be indistinguishable from living things.