Exploratory Analysis Of Metallurgical Process Data With Neural Networks And Related Methods
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Exploratory Analysis Of Metallurgical Process Data With Neural Networks And Related Methods
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Author : C. Aldrich
language : en
Publisher: Elsevier
Release Date : 2002-04-19
Exploratory Analysis Of Metallurgical Process Data With Neural Networks And Related Methods written by C. Aldrich and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002-04-19 with Science categories.
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.
Unsupervised Process Monitoring And Fault Diagnosis With Machine Learning Methods
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Author : Chris Aldrich
language : en
Publisher: Springer Science & Business Media
Release Date : 2013-06-15
Unsupervised Process Monitoring And Fault Diagnosis With Machine Learning Methods written by Chris Aldrich and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-06-15 with Computers categories.
This unique text/reference describes in detail the latest advances in unsupervised process monitoring and fault diagnosis with machine learning methods. Abundant case studies throughout the text demonstrate the efficacy of each method in real-world settings. The broad coverage examines such cutting-edge topics as the use of information theory to enhance unsupervised learning in tree-based methods, the extension of kernel methods to multiple kernel learning for feature extraction from data, and the incremental training of multilayer perceptrons to construct deep architectures for enhanced data projections. Topics and features: discusses machine learning frameworks based on artificial neural networks, statistical learning theory and kernel-based methods, and tree-based methods; examines the application of machine learning to steady state and dynamic operations, with a focus on unsupervised learning; describes the use of spectral methods in process fault diagnosis.
Computational Collective Intelligence Technologies And Applications
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Author : Jeng-Shyang Pan
language : en
Publisher: Springer
Release Date : 2010-11-06
Computational Collective Intelligence Technologies And Applications written by Jeng-Shyang Pan and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-11-06 with Computers categories.
This volume composes the proceedings of the Second International Conference on Computational Collective Intelligence––Technologies and Applications (ICCCI 2010), which was hosted by National Kaohsiung University of Applied Sciences and Wroclaw University of Technology, and was held in Kaohsiung City on November 10-12, 2010. ICCCI 2010 was technically co-sponsored by Shenzhen Graduate School of Harbin Institute of Technology, the Tainan Chapter of the IEEE Signal Processing Society, the Taiwan Association for Web Intelligence Consortium and the Taiwanese Association for Consumer Electronics. It aimed to bring together researchers, engineers and po- cymakers to discuss the related techniques, to exchange research ideas, and to make friends. ICCCI 2010 focused on the following themes: • Agent Theory and Application • Cognitive Modeling of Agent Systems • Computational Collective Intelligence • Computer Vision • Computational Intelligence • Hybrid Systems • Intelligent Image Processing • Information Hiding • Machine Learning • Social Networks • Web Intelligence and Interaction Around 500 papers were submitted to ICCCI 2010 and each paper was reviewed by at least two referees. The referees were from universities and industrial organizations. 155 papers were accepted for the final technical program. Four plenary talks were kindly offered by: Gary G. Yen (Oklahoma State University, USA), on “Population Control in Evolutionary Multi-objective Optimization Algorithm,” Chin-Chen Chang (Feng Chia University, Taiwan), on “Applying De-clustering Concept to Information Hiding,” Qinyu Zhang (Harbin Institute of Technology, China), on “Cognitive Radio Networks and Its Applications,” and Lakhmi C.
American Book Publishing Record
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Author :
language : en
Publisher:
Release Date : 2002
American Book Publishing Record written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Books categories.
The British National Bibliography
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Author : Arthur James Wells
language : en
Publisher:
Release Date : 2002
The British National Bibliography written by Arthur James Wells and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with Bibliography, National categories.
Scientific And Technical Aerospace Reports
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Author :
language : en
Publisher:
Release Date : 1995
Scientific And Technical Aerospace Reports written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Aeronautics categories.
Diagnostic Test Approaches To Machine Learning And Commonsense Reasoning Systems
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Author : Naidenova, Xenia
language : en
Publisher: IGI Global
Release Date : 2012-07-31
Diagnostic Test Approaches To Machine Learning And Commonsense Reasoning Systems written by Naidenova, Xenia and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-31 with Computers categories.
The consideration of symbolic machine learning algorithms as an entire class will make it possible, in the future, to generate algorithms, with the aid of some parameters, depending on the initial users' requirements and the quality of solving targeted problems in domain applications. Diagnostic Test Approaches to Machine Learning and Commonsense Reasoning Systems surveys, analyzes, and compares the most effective algorithms for mining all kinds of logical rules. Global academics and professionals in related fields have come together to create this unique knowledge-sharing resources which will serve as a forum for future collaborations.
Forthcoming Books
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Author : Rose Arny
language : en
Publisher:
Release Date : 2002
Forthcoming Books written by Rose Arny and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2002 with American literature categories.
Fuzzy Sets Fuzzy Logic Fuzzy Methods With Applications
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Author : Hans Bandemer
language : en
Publisher:
Release Date : 1995
Fuzzy Sets Fuzzy Logic Fuzzy Methods With Applications written by Hans Bandemer and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1995 with Computers categories.
This highly accessible introduction to the fundamentals of fuzzy sets and their applications covers fuzzy numbers, fuzzy programming, fuzzy controllers, qualitative fuzzy data analysis, and much more.
An Artificial Intelligence Ai Based Model For Optimal Exploratory Surveys
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Author : Aref Shirazi
language : en
Publisher: GRIN Verlag
Release Date : 2024-03-01
An Artificial Intelligence Ai Based Model For Optimal Exploratory Surveys written by Aref Shirazi and has been published by GRIN Verlag this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-03-01 with Juvenile Nonfiction categories.
Exploratory surveys (geochemical and geophysical) are important and basic steps in the mineral exploration; The importance of this stage includes several reasons that are intertwined; First, the precision and accuracy of the measured data compared to the investigated community, whether they are representative of it or not, and can the data be used as representative of the community in future studies? Second, the density of exploratory surveys that is directly related to management resources (Time, cost, human and equipment); Third, the exact location of the exploration, which must be purposefully selected, so that optimal results can be obtained by spending the least amount of resources.