Inductive Learning Algorithms For Complex Systems Modeling

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Inductive Learning Algorithms for Complex Systems Modeling

H.R. Madala
Inductive Learning Algorithms for Complex Systems Modeling Book PDF

Author : H.R. Madala
Publisher : CRC Press
Page : 353 pages
File Size : 48,9 Mb
Release : 2019-08-08
Category : Computers
ISBN : 9781351090391

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Inductive Learning Algorithms for Complex Systems Modeling by H.R. Madala Pdf

Inductive Learning Algorithms for Complex Systems Modeling is a professional monograph that surveys new types of learning algorithms for modeling complex scientific systems in science and engineering. The book features discussions of algorithm development, structure, and behavior; comprehensive coverage of all types of algorithms useful for this subject; and applications of various modeling activities (e.g., environmental systems, noise immunity, economic systems, clusterization, and neural networks). It presents recent studies on clusterization and recognition problems, and it includes listings of algorithms in FORTRAN that can be run directly on IBM-compatible PCs. Inductive Learning Algorithms for Complex Systems Modeling will be a valuable reference for graduate students, research workers, and scientists in applied mathematics, statistics, computer science, and systems science disciplines. The book will also benefit engineers and scientists from applied fields such as environmental studies, oceanographic modeling, weather forecasting, air and water pollution studies, economics, hydrology, agriculture, fisheries, and time series evaluations.

Decision Making in Complex Systems

Marina V. Sokolova,Antonio Fernández Caballero
Decision Making in Complex Systems Book PDF

Author : Marina V. Sokolova,Antonio Fernández Caballero
Publisher : Springer Science & Business Media
Page : 184 pages
File Size : 44,7 Mb
Release : 2012-01-13
Category : Technology & Engineering
ISBN : 9783642255441

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Decision Making in Complex Systems by Marina V. Sokolova,Antonio Fernández Caballero Pdf

The study of complex systems attracts the attention of many researchers in diverse fields. Complex systems are characterized by a high number of entities and a high degree of interactions. One of the most important features is that they do not involve a central organizing authority, but the various elements that make up the systems are self-organized. Moreover, some complex systems possess an emergency priority: climate change and sustainable development research, studies of public health, ecosystem habitats, epidemiology, and medicine, among others. Unfortunately, a great number of today’s overlapping approaches fail to meet the needs of decision makers when managing complex domains. Indeed, the design of complex systems often requires the integration of a number of artificial intelligence tools and techniques. The problem can be viewed in terms of goals, states, and actions, choosing the best action to move the system toward its desired state or behavior. This is why agent-based approaches are used to model complex systems. The main objective of this book is to bring together existing methods for decision support systems creation within a coherent agent-based framework and to provide an interdisciplinary and flexible methodology for modeling complex and systemic domains.

Uncertainty Modeling in Knowledge Engineering and Decision Making

Anonim
Uncertainty Modeling in Knowledge Engineering and Decision Making Book PDF

Author : Anonim
Publisher : World Scientific
Page : 1373 pages
File Size : 42,6 Mb
Release : 2012
Category : Computers
ISBN : 9789814417747

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Uncertainty Modeling in Knowledge Engineering and Decision Making by Anonim Pdf

FLINS, originally an acronym for Fuzzy Logic and Intelligent Technologies in Nuclear Science, is now extended to Computational Intelligence for applied research. The contributions to the 10th of FLINS conference cover state-of-the-art research, development, and technology for computational intelligence systems, both from the foundations and the applications points-of-view. Sample Chapter(s). Foreword (55 KB). Evaluation of Manufacturing Technology of Photovoltaic Cells (124 KB). Contents: Decision Making and Decision Support Systems; Uncertainty Modeling; Foundations of Computational Intelligence; Statistics, Data Analysis and Data Mining; Intelligent Information Processing; Productivity and Reliability; Applied Research. Readership: Graduate students, researchers, and academics in artificial intelligence/machine learning, information management, decision sciences, databases/information sciences and fuzzy logic.

Advances in Intelligent Systems and Computing II

Natalia Shakhovska,Volodymyr Stepashko
Advances in Intelligent Systems and Computing II Book PDF

Author : Natalia Shakhovska,Volodymyr Stepashko
Publisher : Springer
Page : 681 pages
File Size : 41,6 Mb
Release : 2017-11-20
Category : Technology & Engineering
ISBN : 9783319705811

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Advances in Intelligent Systems and Computing II by Natalia Shakhovska,Volodymyr Stepashko Pdf

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management. Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2017), held on September 5–8, 2017, in Lviv, Ukraine; and at two workshops accompanying the conference: one on inductive modeling, jointly organized by the Lviv Polytechnic National University and the National Academy of Science of Ukraine; and another on project management, which was jointly organized by the Lviv Polytechnic National University, the International Project Management Association, the Ukrainian Project Management Association, the Kazakhstan Project Management Association, and Nazarbayev University. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Semi-empirical Neural Network Modeling and Digital Twins Development

Dmitriy Tarkhov,Alexander Nikolayevich Vasilyev
Semi empirical Neural Network Modeling and Digital Twins Development Book PDF

Author : Dmitriy Tarkhov,Alexander Nikolayevich Vasilyev
Publisher : Academic Press
Page : 288 pages
File Size : 48,6 Mb
Release : 2019-11-23
Category : Science
ISBN : 9780128156520

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Semi-empirical Neural Network Modeling and Digital Twins Development by Dmitriy Tarkhov,Alexander Nikolayevich Vasilyev Pdf

Semi-empirical Neural Network Modeling presents a new approach on how to quickly construct an accurate, multilayered neural network solution of differential equations. Current neural network methods have significant disadvantages, including a lengthy learning process and single-layered neural networks built on the finite element method (FEM). The strength of the new method presented in this book is the automatic inclusion of task parameters in the final solution formula, which eliminates the need for repeated problem-solving. This is especially important for constructing individual models with unique features. The book illustrates key concepts through a large number of specific problems, both hypothetical models and practical interest. Offers a new approach to neural networks using a unified simulation model at all stages of design and operation Illustrates this new approach with numerous concrete examples throughout the book Presents the methodology in separate and clearly-defined stages

Advances in Artificial Systems for Power Engineering

Zhengbing Hu,Bo Wang,Sergey Petoukhov,Matthew He
Advances in Artificial Systems for Power Engineering Book PDF

Author : Zhengbing Hu,Bo Wang,Sergey Petoukhov,Matthew He
Publisher : Springer Nature
Page : 244 pages
File Size : 50,6 Mb
Release : 2021-07-01
Category : Technology & Engineering
ISBN : 9783030805319

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Advances in Artificial Systems for Power Engineering by Zhengbing Hu,Bo Wang,Sergey Petoukhov,Matthew He Pdf

This book comprises refereed papers presented at The International Conference on Artificial Intelligence and Power Engineering (AIPE2020), held in Moscow, Russia, on December 25–27, 2020. The book's/conference's general scope covers the latest advances for the development of artificial intelligence systems and their applications in various fields from power engineering to biology and education. Given the rapid development of artificial intelligence systems, the book emphasizes the need for the intensification of training of a growing number of relevant specialists, in particular, in energy and power engineering to increase the effectiveness of creation and diagnosing of appropriate technical solutions. In digital artificial intelligence systems, scientists endeavor to reproduce the innate intellectual abilities of humans and other organisms. The in-depth study of biological and self-organizing systems provides new approaches to create more and more effective artificial intelligence methods. Topics of the included papers concern thematic materials in the following spheres: mathematics and computer algorithms; analysis of some technical solutions; technological and educational approaches. The book is a compilation of state-of-the-art papers in the field, covering a comprehensive range of subjects that are relevant to business managers and engineering professionals alike. The breadth and depth of these proceedings make them an excellent resource for asset management practitioners, researchers, and academics, as well as undergraduate and postgraduate students interested in artificial intelligence systems and their growing applications. The intended readership includes specialists, students, and other circles of readers who would like to know where artificial intelligence systems can be applied in the future with great benefit.

Model Induction from Data

Y.B. Dibike
Model Induction from Data Book PDF

Author : Y.B. Dibike
Publisher : CRC Press
Page : 160 pages
File Size : 54,6 Mb
Release : 2002-01-01
Category : Science
ISBN : 9058093565

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Model Induction from Data by Y.B. Dibike Pdf

There has been an explosive growth of methods in recent years for learning (or estimating dependency) from data, where data refers to known samples that are combinations of inputs and corresponding outputs of a given physical system. The main subject addressed in this thesis is model induction from data for the simulation of hydrodynamic processes in the aquatic environment. Firstly, some currently popular artificial neural network architectures are introduced, and it is then argued that these devices can be regarded as domain knowledge incapsulators by applying the method to the generation of wave equations from hydraulic data and showing how the equations of numerical-hydraulic models can, in their turn, be recaptured using artificial neural networks. The book also demonstrates how artificial neural networks can be used to generate numerical operators on non-structured grids for the simulation of hydrodynamic processes in two-dimensional flow systems and a methodology has been derived for developing generic hydrodynamic models using artificial neural network. The book also highlights one other model induction technique, namely that of support vector machine, as an emerging new method with a potential to provide more robust models.

Semantic Web Technologies

Archana Patel,Narayan C. Debnath,Bharat Bhushan
Semantic Web Technologies Book PDF

Author : Archana Patel,Narayan C. Debnath,Bharat Bhushan
Publisher : CRC Press
Page : 400 pages
File Size : 47,9 Mb
Release : 2022-10-17
Category : Computers
ISBN : 9781000729238

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Semantic Web Technologies by Archana Patel,Narayan C. Debnath,Bharat Bhushan Pdf

Semantic web technologies (SWTs) offer the richest machine-interpretable (rather than just machine-processable) and explicit semantics that are being extensively used in various domains and industries. This book provides a roadmap for semantic web technologies (SWTs) and highlights their role in a wide range of domains including cloud computing, Internet of Things, big data, sensor network, and so forth. It also explores the prospects of these technologies including different data interchange formats, query languages, ontologies, Linked Data, and notations. The role of SWTs in ‘epidemic Covid-19’, ‘e-learning platforms and systems’, ‘block chain’, ‘open online courses’, and ‘visual analytics in healthcare’ is described as well. This book: Explores all the critical aspects of semantic web technologies (SWTs) Discusses the impact of SWTs on cloud computing, Internet of Things, big data, and sensor network Offers a comprehensive examination of the emerging research in the areas of SWTs and their related domains Provides a template to develop a wide range of smart and intelligent applications Includes latest applications and examples with real data This book is aimed at researchers and graduate students in computer science, informatics, web technology, cloud computing, and Internet of Things.

Handbook of Research on Social and Organizational Dynamics in the Digital Era

Idemudia, Efosa C.
Handbook of Research on Social and Organizational Dynamics in the Digital Era Book PDF

Author : Idemudia, Efosa C.
Publisher : IGI Global
Page : 667 pages
File Size : 43,9 Mb
Release : 2019-08-30
Category : Computers
ISBN : 9781522589341

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Handbook of Research on Social and Organizational Dynamics in the Digital Era by Idemudia, Efosa C. Pdf

Technology in the world today impacts every aspect of society and has infiltrated every industry, affecting communication, management, security, etc. With the emergence of such technologies as IoT, big data, cloud computing, AI, and virtual reality, organizations have had to adjust the way they conduct business to account for changing consumer behaviors and increasing data protection awareness. The Handbook of Research on Social and Organizational Dynamics in the Digital Era provides relevant theoretical frameworks and the latest empirical research findings on all aspects of social issues impacted by information technology in organizations and inter-organizational structures and presents the conceptualization of specific social issues and their associated constructs. Featuring coverage on a broad range of topics such as business management, knowledge management, and consumer behavior, this publication seeks to advance the practice and understanding of technology and the impacts of technology on social behaviors and norms in the workplace and society. It is intended for business professionals, executives, IT practitioners, policymakers, students, and researchers.

Hybrid Self-Organizing Modeling Systems

Godfrey C. Onwubolu
Hybrid Self Organizing Modeling Systems Book PDF

Author : Godfrey C. Onwubolu
Publisher : Springer
Page : 282 pages
File Size : 44,6 Mb
Release : 2009-05-27
Category : Technology & Engineering
ISBN : 9783642015304

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Hybrid Self-Organizing Modeling Systems by Godfrey C. Onwubolu Pdf

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.

Advances in Intelligent Systems and Computing III

Natalia Shakhovska,Mykola O. Medykovskyy
Advances in Intelligent Systems and Computing III Book PDF

Author : Natalia Shakhovska,Mykola O. Medykovskyy
Publisher : Springer
Page : 612 pages
File Size : 40,6 Mb
Release : 2018-11-19
Category : Technology & Engineering
ISBN : 9783030010690

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Advances in Intelligent Systems and Computing III by Natalia Shakhovska,Mykola O. Medykovskyy Pdf

This book reports on new theories and applications in the field of intelligent systems and computing. It covers computational and artificial intelligence methods, as well as advances in computer vision, current issues in big data and cloud computing, computation linguistics, and cyber-physical systems. It also reports on data mining and knowledge extraction technologies, as well as central issues in intelligent information management. Written by active researchers, the respective chapters are based on papers presented at the International Conference on Computer Science and Information Technologies (CSIT 2018), held on September 11–14, 2018, in Lviv, Ukraine, and jointly organized by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.

Chemoinformatics

Hossein G. Gilani,Katia G. Samper,Reza Khodaparast Haghi
Chemoinformatics Book PDF

Author : Hossein G. Gilani,Katia G. Samper,Reza Khodaparast Haghi
Publisher : CRC Press
Page : 216 pages
File Size : 41,8 Mb
Release : 2012-07-27
Category : Science
ISBN : 9781926895239

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Chemoinformatics by Hossein G. Gilani,Katia G. Samper,Reza Khodaparast Haghi Pdf

Chemoinformatics: Advanced Control and Computational Techniques provides an important understanding of the main computational techniques used for processing chemical and biological structural data. The theoretical background to a number of techniques is introduced. General data analysis techniques and examination of the application techniques in the industy are presented, along with current practices and current research. The book also provides practical experience of commercially available systems and includes small-scale chemoinformatics-related projects. The book offers scope for academics, researchers, and engineering professionals. Chapters range from new methods to novel applications of existing methods and help provide an understanding of the material and/or structural behavior of new and advanced systems. It includes innovative chapters on the growth of educational, scientific, and industrial research activities among chemical engineers. It provides the latest coverage of chemical databases and the development of new computational methods and efficient algorithms for chemical software and chemical engineering.

Techno-Social Systems for Modern Economical and Governmental Infrastructures

Troussov, Alexander,Maruev, Sergey
Techno Social Systems for Modern Economical and Governmental Infrastructures Book PDF

Author : Troussov, Alexander,Maruev, Sergey
Publisher : IGI Global
Page : 351 pages
File Size : 42,8 Mb
Release : 2018-07-13
Category : Political Science
ISBN : 9781522555872

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Techno-Social Systems for Modern Economical and Governmental Infrastructures by Troussov, Alexander,Maruev, Sergey Pdf

Applications have transformed the collaboration environment from a mere document collection into a highly interconnected social space. These systems interoperate within a social and organizational context that drives their everyday use and provides a rich context for understanding the role of nodes that represent both people and abstract concepts. Techno-Social Systems for Modern Economical and Governmental Infrastructures provides emerging research exploring the theoretical and practical aspects of mining technological and social systems for the creation of scalable methods, systems, and applications within economic and government disciplines. Featuring coverage on a broad range of topics such as analysis models, data navigation, and empirical sociology, this book is ideally designed for professionals, researchers, executives, managers, and developers seeking current research on the interconnecting roles of technology and social space.

Artificial Intelligence for Cognitive Modeling

Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz
Artificial Intelligence for Cognitive Modeling Book PDF

Author : Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz
Publisher : CRC Press
Page : 451 pages
File Size : 48,8 Mb
Release : 2023-04-19
Category : Computers
ISBN : 9781000864243

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Artificial Intelligence for Cognitive Modeling by Pijush Dutta,Souvik Pal,Asok Kumar,Korhan Cengiz Pdf

This book is written in a clear and thorough way to cover both the traditional and modern uses of artificial intelligence and soft computing. It gives an in-depth look at mathematical models, algorithms, and real-world problems that are hard to solve in MATLAB. The book is intended to provide a broad and in-depth understanding of fuzzy logic controllers, genetic algorithms, neural networks, and hybrid techniques such as ANFIS and the GA-ANN model. Features: A detailed description of basic intelligent techniques (fuzzy logic, genetic algorithm and neural network using MATLAB) A detailed description of the hybrid intelligent technique called the adaptive fuzzy inference technique (ANFIS) Formulation of the nonlinear model like analysis of ANOVA and response surface methodology Variety of solved problems on ANOVA and RSM Case studies of above mentioned intelligent techniques on the different process control systems This book can be used as a handbook and a guide for students of all engineering disciplines, operational research areas, computer applications, and for various professionals who work in the optimization area.

Advances in Intelligent Systems and Computing V

Natalya Shakhovska,Mykola O. Medykovskyy
Advances in Intelligent Systems and Computing V Book PDF

Author : Natalya Shakhovska,Mykola O. Medykovskyy
Publisher : Springer Nature
Page : 1190 pages
File Size : 45,5 Mb
Release : 2020-12-22
Category : Technology & Engineering
ISBN : 9783030632700

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Advances in Intelligent Systems and Computing V by Natalya Shakhovska,Mykola O. Medykovskyy Pdf

This book reports on new theories and applications in the field of intelligent systems and computing. It covers cutting-edge computational and artificial intelligence methods, advances in computer vision, big data, cloud computing, and computation linguistics, as well as cyber-physical and intelligent information management systems. The respective chapters are based on selected papers presented at the workshop on intelligent systems and computing, held during the International Conference on Computer Science and Information Technologies, CSIT 2020, which was jointly organized on September 23-26, 2020, by the Lviv Polytechnic National University, Ukraine, the Kharkiv National University of Radio Electronics, Ukraine, and the Technical University of Lodz, Poland, under patronage of Ministry of Education and Science of Ukraine. Given its breadth of coverage, the book provides academics and professionals with extensive information and a timely snapshot of the field of intelligent systems, and is sure to foster new discussions and collaborations among different groups.