Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Application Of Neural Networks To Mineral Reserve Estimation full books in PDF, epub, and Kindle. Read online Application Of Neural Networks To Mineral Reserve Estimation ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Christopher C. H. Burnett
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (62 download)
Download or read book Application of Neural Networks to Mineral Reserve Estimation written by Christopher C. H. Burnett and published by . This book was released on 1995 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sridhar Dutta
Publisher :
ISBN 13 :
Total Pages : 378 pages
Book Rating : 4.:/5 (725 download)
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.
Author : Ioannis K. Kapageridis
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (595 download)
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:
Author : Lars Niklasson
Publisher : Springer Science & Business Media
ISBN 13 : 1447115996
Total Pages : 1197 pages
Book Rating : 4.4/5 (471 download)
Download or read book ICANN 98 written by Lars Niklasson and published by Springer Science & Business Media. This book was released on 2013-11-11 with total page 1197 pages. Available in PDF, EPUB and Kindle. Book excerpt: ICANN, the International Conference on Artificial Neural Networks, is the official conference series of the European Neural Network Society which started in Helsinki in 1991. Since then ICANN has taken place in Brighton, Amsterdam, Sorrento, Paris, Bochum and Lausanne, and has become Europe's major meeting in the field of neural networks. This book contains the proceedings of ICANN 98, held 2-4 September 1998 in Skovde, Sweden. Of 340 submissions to ICANN 98, 180 were accepted for publication and presentation at the conference. In addition, this book contains seven invited papers presented at the conference. A conference of this size is obviously not organized by three individuals alone. We therefore would like to thank the following people and organizations for supporting ICANN 98 in one way or another: • the European Neural Network Society and the Swedish Neural Network Society for their active support in the organization of this conference, • the Programme Committee and all reviewers for the hard and timely work that was required to produce more than 900 reviews during April 1998, • the Steering Committee which met in Skovde in May 1998 for the final selection of papers and the preparation of the conference program, • the other Module Chairs: Bengt Asker (Industry and Research), Harald Brandt (Applications), Anders Lansner (Computational Neuroscience and Brain Theory), Thorsteinn Rognvaldsson (Theory), Noel Sharkey (co chair Autonomous Robotics and Adaptive Behavior), Bertil Svensson (Hardware and Implementations), • the conference secretary, Leila Khammari, and the rest of the
Author :
Publisher :
ISBN 13 :
Total Pages : 612 pages
Book Rating : 4.F/5 ( download)
Download or read book Application of Computers and Operations Research in the Mineral Industry written by and published by . This book was released on 1995 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jinchuan Ke
Publisher :
ISBN 13 :
Total Pages : 502 pages
Book Rating : 4.:/5 (56 download)
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.
Author : Sukumar Bandopadhyay
Publisher : Society for Mining Metallurgy & Exploration
ISBN 13 :
Total Pages : 898 pages
Book Rating : 4.0/5 ( download)
Download or read book Application of Computers and Operations Research in the Mineral Industry written by Sukumar Bandopadhyay and published by Society for Mining Metallurgy & Exploration. This book was released on 2002 with total page 898 pages. Available in PDF, EPUB and Kindle. Book excerpt: Papers from a recent symposium present work in traditional areas of mineral exploration, geostatistics, production planning, and scheduling, as well as the emerging areas of information technology, e-commerce, neural networks, and geological information systems. Contributors reflect the efforts of i
Author : Mohammad Ehteram
Publisher : Springer Nature
ISBN 13 : 981198106X
Total Pages : 109 pages
Book Rating : 4.8/5 (119 download)
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.
Author : Carsten Drebenstedt
Publisher : Springer Science & Business Media
ISBN 13 : 331902678X
Total Pages : 1464 pages
Book Rating : 4.3/5 (19 download)
Download or read book Mine Planning and Equipment Selection written by Carsten Drebenstedt and published by Springer Science & Business Media. This book was released on 2013-10-16 with total page 1464 pages. Available in PDF, EPUB and Kindle. Book excerpt: This edited volume includes all papers presented at the 22nd International Conference on Mine Planning and Equipment Selection (MPES), Dresden, Germany, 2013. Mineral Resources are needed for almost all processes of modern life, whilst the mining industry is facing strict requirements regarding efficiency and sustainability. The research papers in this volume deal with the latest developments and research results in the fields of mining, machinery, automatization and environment protection.
Author : Heping Xie
Publisher : CRC Press
ISBN 13 : 1000107949
Total Pages : 889 pages
Book Rating : 4.0/5 (1 download)
Download or read book Computer Applications in the Mineral Industries written by Heping Xie and published by CRC Press. This book was released on 2020-12-17 with total page 889 pages. Available in PDF, EPUB and Kindle. Book excerpt: This text covers the use of computer applications in the mineral industries, encompassing topics such as the use of computer visualization in mining systems and aspects such as ventilation and safety.
Author :
Publisher :
ISBN 13 :
Total Pages : 612 pages
Book Rating : 4.0/5 ( download)
Download or read book APCOM XXV 1995 written by and published by . This book was released on 1995 with total page 612 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Zhao Pengda
Publisher : CRC Press
ISBN 13 : 1466564415
Total Pages : 162 pages
Book Rating : 4.4/5 (665 download)
Download or read book Mathematical Geology and Geoinformatics written by Zhao Pengda and published by CRC Press. This book was released on 2021-12-17 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents the proceedings of the 30th International Geological Congress, providing information on geological hazards map and image analytical systems, mineral resources with integrated information, phase-separation analysis, mineral reserve estimation, and geosciences and management information systems.
Author : C. Aldrich
Publisher : Elsevier
ISBN 13 : 0080531466
Total Pages : 387 pages
Book Rating : 4.0/5 (85 download)
Download or read book Exploratory Analysis of Metallurgical Process Data with Neural Networks and Related Methods written by C. Aldrich and published by Elsevier. This book was released on 2002-04-19 with total page 387 pages. Available in PDF, EPUB and Kindle. Book excerpt: This volume is concerned with the analysis and interpretation of multivariate measurements commonly found in the mineral and metallurgical industries, with the emphasis on the use of neural networks. The book is primarily aimed at the practicing metallurgist or process engineer, and a considerable part of it is of necessity devoted to the basic theory which is introduced as briefly as possible within the large scope of the field. Also, although the book focuses on neural networks, they cannot be divorced from their statistical framework and this is discussed in length. The book is therefore a blend of basic theory and some of the most recent advances in the practical application of neural networks.
Author : Mario E. Rossi
Publisher : Springer Science & Business Media
ISBN 13 : 1402057172
Total Pages : 337 pages
Book Rating : 4.4/5 (2 download)
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.
Author : M. David
Publisher : Elsevier
ISBN 13 : 0444597611
Total Pages : 385 pages
Book Rating : 4.4/5 (445 download)
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.
Author : E.J.M. Carranza
Publisher : Elsevier
ISBN 13 : 008093031X
Total Pages : 365 pages
Book Rating : 4.0/5 (89 download)
Download or read book Geochemical Anomaly and Mineral Prospectivity Mapping in GIS written by E.J.M. Carranza and published by Elsevier. This book was released on 2008-11-26 with total page 365 pages. Available in PDF, EPUB and Kindle. Book excerpt: Geochemical Anomaly and Mineral Prospectivity Mapping in GIS documents and explains, in three parts, geochemical anomaly and mineral prospectivity mapping by using a geographic information system (GIS). Part I reviews and couples the concepts of (a) mapping geochemical anomalies and mineral prospectivity and (b) spatial data models, management and operations in a GIS. Part II demonstrates GIS-aided and GIS-based techniques for analysis of robust thresholds in mapping of geochemical anomalies. Part III explains GIS-aided and GIS-based techniques for spatial data analysis and geo-information sybthesis for conceptual and predictive modeling of mineral prospectivity. Because methods of geochemical anomaly mapping and mineral potential mapping are highly specialized yet diverse, the book explains only methods in which GIS plays an important role. The book avoids using language and functional organization of particular commercial GIS software, but explains, where necessary, GIS functionality and spatial data structures appropriate to problems in geochemical anomaly mapping and mineral potential mapping. Because GIS-based methods of spatial data analysis and spatial data integration are quantitative, which can be complicated to non-numerate readers, the book simplifies explanations of mathematical concepts and their applications so that the methods demonstrated would be useful to professional geoscientists, to mineral explorationists and to research students in fields that involve analysis and integration of maps or spatial datasets. The book provides adequate illustrations for more thorough explanation of the various concepts. Explains GIS functionality and spatial data structures appropriate regardless of the particular GIS software in use Simplifies explanation of mathematical concepts and application Illustrated for more thorough explanation of concepts
Author : Ioannis Konstantinou Kapageridis
Publisher :
ISBN 13 :
Total Pages : 520 pages
Book Rating : 4.:/5 (125 download)
Download or read book Application of Artificial Neural Network Systems to Grade Estimation from Exploration Data written by Ioannis Konstantinou Kapageridis and published by . This book was released on 1999 with total page 520 pages. Available in PDF, EPUB and Kindle. Book excerpt:
