Hybrid Self Organizing Modeling Systems

Author : Godfrey C. Onwubolu
Publisher : Springer
ISBN 13 : 3642015301
Total Pages : 297 pages
Book Rating : 4.04/5 ( download)

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Download or read book Hybrid Self-Organizing Modeling Systems written by Godfrey C. Onwubolu and published by Springer. This book was released on 2009-05-27 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Group Method of Data Handling (GMDH) is a typical inductive modeling method that is built on principles of self-organization for modeling complex systems. This book clearly presents hybrids of some computational intelligence techniques and GMDH approach.

Author : Stanley J. Farlow
Publisher : CRC Press
ISBN 13 : 1000146472
Total Pages : 372 pages
Book Rating : 4.79/5 ( download)

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Download or read book Self-Organizing Methods in Modeling written by Stanley J. Farlow and published by CRC Press. This book was released on 2020-11-26 with total page 372 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book introduces English-speaking people the basic group method of data handling algorithm. It could be used as a reference source for researchers or as a textbook for specialized courses and seminars in modeling, applied mathematics, and applied statistics.

Author : Zhou, Zude
Publisher : IGI Global
ISBN 13 : 1605668656
Total Pages : 407 pages
Book Rating : 4.59/5 ( download)

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Download or read book Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation written by Zhou, Zude and published by IGI Global. This book was released on 2010-03-31 with total page 407 pages. Available in PDF, EPUB and Kindle. Book excerpt: "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Author : Heide Karen Lukosch
Publisher : Springer
ISBN 13 : 3319919024
Total Pages : 201 pages
Book Rating : 4.27/5 ( download)

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Download or read book Simulation Gaming. Applications for Sustainable Cities and Smart Infrastructures written by Heide Karen Lukosch and published by Springer. This book was released on 2018-05-25 with total page 201 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the refereed post-conference proceedings of the 48th International Simulation and Gaming Association Conference, ISAGA 2018, held in Delft, The Netherlands, in July 2018. The 19 revised full papers included in the volume were carefully reviewed and selected from 27 submissions. The contributions to this book range from design thinking related to simulation gaming, the analysis of the consequences of design choices in games, to games for decision making, examples of games for business, climate change, maritime spatial planning, sustainable city development, supply chain, and much more.

Author : Godfrey Onwubolu
Publisher : World Scientific
ISBN 13 : 1783266848
Total Pages : 304 pages
Book Rating : 4.45/5 ( download)

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Download or read book GMDH-Methodology and Implementation in C written by Godfrey Onwubolu and published by World Scientific. This book was released on 2014-10-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Group Method of Data Handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modeling has been developed and applied to complex systems in areas like prediction, modeling, clusterization, system identification, as well as data mining and knowledge extraction technologies, to several fields including social science, science, engineering, and medicine. This book makes error-free codes available to end-users so that these codes can be used to understand the implementation of GMDH, and then create opportunities to further develop the variants of GMDH algorithms. C-language has been chosen because it is a basic language commonly taught in the first year in computer programming courses in most universities and colleges, and the compiled versions could be used for more meaningful practical applications where security is necessary. Contents:Introduction (Godfrey C Onwubolu)GMDH Multilayered Iterative Algorithm (MIA) (Godfrey C Onwubolu)GMDH Multilayered Algorithm Using Prior Information (Alexandr Kiryanov)Combinatorial (COMBI) Algorithm (Oleksiy Koshulko, Anatoliy Koshulko and Godfrey C Onwubolu)GMDH Harmonic Algorithm (Godfrey C Onwubolu)GMDH-Based Modified Polynomial Neural Network Algorithm (Alexander Tyryshkin, Anatoliy Andrakhanov and Andrey Orlov)GMDH-Clustering (Lyudmyla Sarycheva and Alexander Sarychev)Multiagent Clustering Algorithm (Oleksii Oliinyk, Sergey Subbotin and Andrii Oliinyk)Analogue Complexing Algorithm (Dmytro Zubov)GMDH-Type Neural Network and Genetic Algorithm (Saeed Fallahi, Meysam Shaverdi and Vahab Bashiri) Readership: Researchers, professionals, and senior undergraduate students in artificial intelligence, neural networks, decision sciences, and innovation technology. Key Features:No other book in the market makes error-free codes so readily available to the publicClearly presents the main variants of GMDH and supporting codes for users to understand the concepts involved, apply them, and build on the available codesContributors are world-renowned researchers in GMDHKeywords:GMDH;Inductive Modeling;MIA;COMBI;PNN;GMDH-Analog Complexing

Author : Volodymyr Lytvynenko
Publisher : Springer
ISBN 13 : 3030264742
Total Pages : 715 pages
Book Rating : 4.41/5 ( download)

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Download or read book Lecture Notes in Computational Intelligence and Decision Making written by Volodymyr Lytvynenko and published by Springer. This book was released on 2019-07-23 with total page 715 pages. Available in PDF, EPUB and Kindle. Book excerpt: Information and computer technologies for data analysis and processing in various fields of data mining and machine learning generates the conditions for increasing the effectiveness of information processing by making it faster and more accurate. The book includes 49 scientific papers presenting the latest research in the fields of data mining, machine learning and decision-making. Divided into three sections: “Analysis and Modeling of Complex Systems and Processes”; “Theoretical and Applied Aspects of Decision-Making Systems”; and “Computational Intelligence and Inductive Modeling”, the book is of interest to scientists and developers in the field.

Author : Godfrey Onwubolu
Publisher : World Scientific
ISBN 13 : 1783266147
Total Pages : 284 pages
Book Rating : 4.42/5 ( download)

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Download or read book GMDH-Methodology and Implementation in MATLAB written by Godfrey Onwubolu and published by World Scientific. This book was released on 2016-06-14 with total page 284 pages. Available in PDF, EPUB and Kindle. Book excerpt: Group method of data handling (GMDH) is a typical inductive modeling method built on the principles of self-organization. Since its introduction, inductive modelling has been developed to support complex systems in prediction, clusterization, system identification, as well as data mining and knowledge extraction technologies in social science, science, engineering, and medicine. This is the first book to explore GMDH using MATLAB (matrix laboratory) language. Readers will learn how to implement GMDH in MATLAB as a method of dealing with big data analytics. Error-free source codes in MATLAB have been included in supplementary material (accessible online) to assist users in their understanding in GMDH and to make it easy for users to further develop variations of GMDH algorithms. Contents:Basic/Standard GMDH:Introduction (Godfrey C Onwubolu)GMDH Multilayered Algorithm (Godfrey C Onwubolu)GMDH Multilayered Algorithm in MATLAB (Mohammed Abdalla Ayoub Mohammed)Hybrid GMDH System:GMDH-Based Polynomial Neural Network Algorithm in MATLAB (Elaine Inácio Bueno, Iraci Martinez Pereira and Antonio Teixeira e Silva)Designing GMDH Model Using Modified Levenberg Marquardt Technique in Matlab (Maryam Pournasir Roudbaneh)Group Method of Data Handing Using Discrete Differential Evolution in Matlab (Donald Davendra, Godfrey Onwubolu and Ivan Zelinka) Readership: Professionals and students interested in data mining and analytics.

Author : Norbert Jankowski
Publisher : Springer
ISBN 13 : 3642209807
Total Pages : 362 pages
Book Rating : 4.02/5 ( download)

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Download or read book Meta-Learning in Computational Intelligence written by Norbert Jankowski and published by Springer. This book was released on 2011-06-10 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computational Intelligence (CI) community has developed hundreds of algorithms for intelligent data analysis, but still many hard problems in computer vision, signal processing or text and multimedia understanding, problems that require deep learning techniques, are open. Modern data mining packages contain numerous modules for data acquisition, pre-processing, feature selection and construction, instance selection, classification, association and approximation methods, optimization techniques, pattern discovery, clusterization, visualization and post-processing. A large data mining package allows for billions of ways in which these modules can be combined. No human expert can claim to explore and understand all possibilities in the knowledge discovery process. This is where algorithms that learn how to learnl come to rescue. Operating in the space of all available data transformations and optimization techniques these algorithms use meta-knowledge about learning processes automatically extracted from experience of solving diverse problems. Inferences about transformations useful in different contexts help to construct learning algorithms that can uncover various aspects of knowledge hidden in the data. Meta-learning shifts the focus of the whole CI field from individual learning algorithms to the higher level of learning how to learn. This book defines and reveals new theoretical and practical trends in meta-learning, inspiring the readers to further research in this exciting field.

Author : Peter M. Allen
Publisher : Routledge
ISBN 13 : 1135301719
Total Pages : 327 pages
Book Rating : 4.12/5 ( download)

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Download or read book Cities and Regions as Self-Organizing Systems written by Peter M. Allen and published by Routledge. This book was released on 2012-06-25 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: A clear methodological and philosophical introduction to complexity theory as applied to urban and regional systems is given, together with a detailed series of modelling case studies compiled over the last couple of decades. Based on the new complex systems thinking, mathematical models are developed which attempt to simulate the evolution of towns, cities, and regions and the complicated co-evolutionary interaction there is both between and within them. The aim of these models is to help policy analysis and decision-making in urban and regional planning, energy policy, transport policy, and many other areas of service provision, infrastructure planning, and investment that are necessary for a successful society.

Author : Sachi Nandan Mohanty
Publisher : Springer Nature
ISBN 13 : 9811573174
Total Pages : 593 pages
Book Rating : 4.70/5 ( download)

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Download or read book Applications of Artificial Intelligence in COVID-19 written by Sachi Nandan Mohanty and published by Springer Nature. This book was released on 2021-09-29 with total page 593 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book examines the role of artificial intelligence during the COVID-19 pandemic, including its application in i) early warnings and alerts, ii) tracking and prediction, iii) data dashboards, iv) diagnosis and prognosis, v) treatments, and cures, and vi) social control. It explores the use of artificial intelligence in the context of population screening and assessing infection risks, and presents mathematical models for epidemic prediction of COVID-19. Furthermore, the book discusses artificial intelligence-mediated diagnosis, and how machine learning can help in the development of drugs to treat the disease. Lastly, it analyzes various artificial intelligence-based models to improve the critical care of COVID-19 patients.