Neural-network Modelling of Placer Ore Grade Spatial Variability

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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.

Sixth International Conferencew on Information Technology

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Publisher : Allied Publishers
ISBN 13 : 9788177645583
Total Pages : 658 pages
Book Rating : 4.6/5 (455 download)

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Book Synopsis Sixth International Conferencew on Information Technology by :

Download or read book Sixth International Conferencew on Information Technology written by and published by Allied Publishers. This book was released on with total page 658 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Journal of the South African Institute of Mining and Metallurgy

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Publisher :
ISBN 13 :
Total Pages : 470 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Journal of the South African Institute of Mining and Metallurgy by : South African Institute of Mining and Metallurgy

Download or read book Journal of the South African Institute of Mining and Metallurgy written by South African Institute of Mining and Metallurgy and published by . This book was released on 2005 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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.

Dissertation Abstracts International

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ISBN 13 :
Total Pages : 652 pages
Book Rating : 4.F/5 ( download)

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Download or read book Dissertation Abstracts International written by and published by . This book was released on 2003 with total page 652 pages. Available in PDF, EPUB and Kindle. Book excerpt:

American Doctoral Dissertations

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ISBN 13 :
Total Pages : 776 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis American Doctoral Dissertations by :

Download or read book American Doctoral Dissertations written by and published by . This book was released on 2002 with total page 776 pages. Available in PDF, EPUB and Kindle. Book excerpt:

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

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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
ISBN 13 : 0444597611
Total Pages : 385 pages
Book Rating : 4.4/5 (445 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. This book was released on 2012-12-02 with total page 385 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.

Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support

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Publisher : Springer
ISBN 13 : 3319675583
Total Pages : 399 pages
Book Rating : 4.3/5 (196 download)

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Book Synopsis Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support by : M. Jorge Cardoso

Download or read book Deep Learning in Medical Image Analysis and Multimodal Learning for Clinical Decision Support written by M. Jorge Cardoso and published by Springer. This book was released on 2017-09-07 with total page 399 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed joint proceedings of the Third International Workshop on Deep Learning in Medical Image Analysis, DLMIA 2017, and the 6th International Workshop on Multimodal Learning for Clinical Decision Support, ML-CDS 2017, held in conjunction with the 20th International Conference on Medical Imaging and Computer-Assisted Intervention, MICCAI 2017, in Québec City, QC, Canada, in September 2017. The 38 full papers presented at DLMIA 2017 and the 5 full papers presented at ML-CDS 2017 were carefully reviewed and selected. The DLMIA papers focus on the design and use of deep learning methods in medical imaging. The ML-CDS papers discuss new techniques of multimodal mining/retrieval and their use in clinical decision support.

Applied Mineral Inventory Estimation

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Publisher : Cambridge University Press
ISBN 13 : 9780521021821
Total Pages : 400 pages
Book Rating : 4.0/5 (218 download)

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Book Synopsis Applied Mineral Inventory Estimation by : Alastair J. Sinclair

Download or read book Applied Mineral Inventory Estimation written by Alastair J. Sinclair and published by Cambridge University Press. This book was released on 2006-01-19 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Mineral Inventory Estimation presents a comprehensive applied approach to the estimation of mineral resources/reserves with particular emphasis on the geological basis of such estimations, the need for and maintenance of a high quality assay data base, the practical use of comprehensive exploratory data evaluation, and the importance of a comprehensive geostatistical approach to the estimation methodology. Practical problems and real data are used throughout as illustrations. Each chapter ends with a summary of practical concerns, a number of exercises and a short list of references for supplementary study. This textbook is suitable for any university or mining school that offers senior undergraduate and graduate student courses on mineral resource/reserve estimation.

Economic Geology

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ISBN 13 :
Total Pages : 510 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Economic Geology by :

Download or read book Economic Geology written by and published by . This book was released on 2007 with total page 510 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Mining goes Digital

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Publisher : CRC Press
ISBN 13 : 1000439062
Total Pages : 782 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Mining goes Digital by : Christoph Mueller

Download or read book Mining goes Digital written by Christoph Mueller and published by CRC Press. This book was released on 2019-05-22 with total page 782 pages. Available in PDF, EPUB and Kindle. Book excerpt: The conferences on ‘Applications for Computers and Operations Research in the Minerals Industry’ (APCOM) initially focused on the optimization of geostatistics and resource estimation. Several standard methods used in these fields were presented in the early days of APCOM. While geostatistics remains an important part, information technology has emerged, and nowadays APCOM not only focuses on geostatistics and resource estimation, but has broadened its horizon to Information and Communication Technology (ICT) in the mineral industry. Mining Goes Digital is a collection of 90 high quality, peer reviewed papers covering recent ICT-related developments in: - Geostatistics and Resource Estimation - Mine Planning - Scheduling and Dispatch - Mine Safety and Mine Operation - Internet of Things, Robotics - Emerging Technologies - Synergies from other industries - General aspects of Digital Transformation in Mining Mining Goes Digital will be of interest to professionals and academics involved or interested in the above-mentioned areas.

Geostatistics for the Next Century

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Publisher : Springer Science & Business Media
ISBN 13 : 9401108242
Total Pages : 513 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Geostatistics for the Next Century by : Roussos Dimitrakopoulos

Download or read book Geostatistics for the Next Century written by Roussos Dimitrakopoulos and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 513 pages. Available in PDF, EPUB and Kindle. Book excerpt: To honour the remarkable contribution of Michel David in the inception, establishment and development of Geostatistics, and to promote the essence of his work, an international Forum entitled Geostatistics for the Next Century was convened in Montreal in June 1993. In order to enhance communication and stimulate geostatistical innovation, research and development, the Forum brought together world leading researchers and practitioners from five continents, who discussed-debated current problems, new technologies and futuristic ideas. This volume contains selected peer-reviewed papers from the Forum, together with comments by participants and replies by authors. Although difficult to capture the spontaneity and range of a debate, comments and replies should further assist in the promotion of ideas, dialogue and criticism, and are consistent with the spirit of the Forum. The contents of this volume are organized following the Forum's thematic sessions. The role of theme sessions was not only to stress important topics of tOday but in addition, to emphasize common ground held among diverse areas of geostatistical work and the need to strengthen communication between these areas. For this reason, any given section of this book may include papers from theory to applications, in mining, petroleum, environment, geohydrology, image processing.

Mineralization and Sustainable Development in the West African Craton

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Publisher : Geological Society of London
ISBN 13 : 1786204894
Total Pages : 357 pages
Book Rating : 4.7/5 (862 download)

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Book Synopsis Mineralization and Sustainable Development in the West African Craton by : T. Aïfa

Download or read book Mineralization and Sustainable Development in the West African Craton written by T. Aïfa and published by Geological Society of London. This book was released on 2021-07-22 with total page 357 pages. Available in PDF, EPUB and Kindle. Book excerpt: This Special Publication combines results obtained by interdisciplinary groups from numerous academic institutions working on Paleoproterozoic formations to decipher the origins of the main mineralization resources in the West African Craton (WAC) and their impacts on African economic development. Structural, geophysical, sedimentological, stratigraphical, geochemical, petrophysical and mineralogical analyses have been used to highlight the complexities involved in mineralization emplacement and its origin and evolution within the WAC. Fourteen articles contribute to new knowledge in mineral research. They show that the geodynamic evolution of the WAC is complex from one area to another: it involves subduction, collision and obduction during several deformation phases ranging from Birimian (2.3–2.0 Ga) to Pan-African (650–450 Ma) events. Various modelling techniques, when integrated, help in understanding the mechanisms of mineralization emplacement, some of which are still a matter of debate. The challenge for further studies is mitigation for sustainable development that can be appropriately used to minimize such damage.

Economic Geology and the Bulletin of the Society of Economic Geologists

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Publisher :
ISBN 13 :
Total Pages : 694 pages
Book Rating : 4.:/5 (318 download)

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Book Synopsis Economic Geology and the Bulletin of the Society of Economic Geologists by :

Download or read book Economic Geology and the Bulletin of the Society of Economic Geologists written by and published by . This book was released on 2007 with total page 694 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Geological Methods in Mineral Exploration and Mining

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Publisher : Springer Science & Business Media
ISBN 13 : 9401158223
Total Pages : 123 pages
Book Rating : 4.4/5 (11 download)

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Book Synopsis Geological Methods in Mineral Exploration and Mining by : Roger Marjoribanks

Download or read book Geological Methods in Mineral Exploration and Mining written by Roger Marjoribanks and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 123 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is written as a practical field manual to effective. Each geolOgist has to develop his/her be used by geologists engaged in mineral explo own techniques and will ultimately be judged on ration. It is also hoped that it will serve as a text results, not the process by which these results and reference for students in Applied Geology were reached. In mineral exploration, the only courses of universities and colleges. The book 'right' way of doing anything is the way that aims to outline some of the practical skills that locates ore in the quickest and most cost-effective turn the graduate geologist into an explo manner. It is preferable, however, for an individ rationist:. It is intended as a practical 'how to' ual to develop his/her own method of operation book, rather than as a text on geological or ore after having tried, and become aware of, those deposit theory. procedures which experience has shown to work An explorationist is a professional who search well and which are generally accepted in indus try as good exploration practice. es for ore bodies in a scientific and structured way. Although an awkward and artificial term, The chapters of the book approximately fol this is the only available word to describe the low the steps which a typical exploration pro totality of the skills which are needed to locate gramme would go through. In Chapter 1, the and define economic mineralization.