Soft Numerical Computing in Uncertain Dynamic Systems Book

Soft Numerical Computing in Uncertain Dynamic Systems


  • Author : Tofigh Allahviranloo
  • Publisher : Academic Press
  • Release Date : 2020-09-01
  • Genre: Computers
  • Pages : 388
  • ISBN 10 : 9780128229941

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Soft Numerical Computing in Uncertain Dynamic Systems Excerpt :

Soft Numerical Computing in Uncertain Dynamic Systems is intended for system specialists interested in dynamic systems that operate at different time scales. The book discusses several types of errors and their propagation, covering numerical methods—including convergence and consistence properties and characteristics—and proving of related theorems within the setting of soft computing. Several types of uncertainty representation like interval, fuzzy, type 2 fuzzy, granular, and combined uncertain sets are discussed in detail. The book can be used by engineering students in control and finite element fields, as well as all engineering, applied mathematics, economics, and computer science students. One of the important topics in applied science is dynamic systems and their applications. The authors develop these models and deliver solutions with the aid of numerical methods. Since they are inherently uncertain, soft computations are of high relevance here. This is the reason behind investigating soft numerical computing in dynamic systems. If these systems are involved with complex-uncertain data, they will be more practical and important. Real-life problems work with this type of data and most of them cannot be solved exactly and easily—sometimes they are impossible to solve. Clearly, all the numerical methods need to consider error of approximation. Other important applied topics involving uncertain dynamic systems include image processing and pattern recognition, which can benefit from uncertain dynamic systems as well. In fact, the main objective is to determine the coefficients of a matrix that acts as the frame in the image. One of the effective methods exhibiting high accuracy is to use finite differences to fill the cells of the matrix. Explores dynamic models, how time is fundamental to the structure of the model and data, and how a process unfolds Investigates the dynamic relationships between multiple components of a system in modeling using mathemat

Soft Computing Approach for Mathematical Modeling of Engineering Problems Book

Soft Computing Approach for Mathematical Modeling of Engineering Problems


  • Author : Ali Ahmadian
  • Publisher : CRC Press
  • Release Date : 2021-09-03
  • Genre: Computers
  • Pages : 222
  • ISBN 10 : 9781000432466

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Soft Computing Approach for Mathematical Modeling of Engineering Problems Excerpt :

This book describes different mathematical modeling and soft computing techniques used to solve practical engineering problems. It gives an overview of the current state of soft computing techniques and describes the advantages and disadvantages of soft computing compared to traditional hard computing techniques. Through examples and case studies the editors demonstrate and describe how problems with inherent uncertainty can be addressed and eventually solved through the aid of numerical models and methods. The chapters address several applications and examples in bioengineering science, drug delivery, solving inventory issues, Industry 4.0, augmented reality and weather forecasting. Other examples include solving fuzzy-shortest-path problems by introducing a new distance and ranking functions. Because, in practice, problems arise with uncertain data and most of them cannot be solved exactly and easily, the main objective is to develop models that deliver solutions with the aid of numerical methods. This is the reason behind investigating soft numerical computing in dynamic systems. Having this in mind, the authors and editors have considered error of approximation and have discussed several common types of errors and their propagations. Moreover, they have explained the numerical methods, along with convergence and consistence properties and characteristics, as the main objectives behind this book involve considering, discussing and proving related theorems within the setting of soft computing. This book examines dynamic models, and how time is fundamental to the structure of the model and data as well as the understanding of how a process unfolds • Discusses mathematical modeling with soft computing and the implementations of uncertain mathematical models • Examines how uncertain dynamic systems models include uncertain state, uncertain state space and uncertain state’s transition functions • Assists readers to become familiar with many soft numerical meth

Mathematical Methods in Interdisciplinary Sciences Book

Mathematical Methods in Interdisciplinary Sciences


  • Author : Snehashish Chakraverty
  • Publisher : John Wiley & Sons
  • Release Date : 2020-06-02
  • Genre: Mathematics
  • Pages : 464
  • ISBN 10 : 9781119585619

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Mathematical Methods in Interdisciplinary Sciences Excerpt :

Brings mathematics to bear on your real-world, scientific problems Mathematical Methods in Interdisciplinary Sciences provides a practical and usable framework for bringing a mathematical approach to modelling real-life scientific and technological problems. The collection of chapters Dr. Snehashish Chakraverty has provided describe in detail how to bring mathematics, statistics, and computational methods to the fore to solve even the most stubborn problems involving the intersection of multiple fields of study. Graduate students, postgraduate students, researchers, and professors will all benefit significantly from the author's clear approach to applied mathematics. The book covers a wide range of interdisciplinary topics in which mathematics can be brought to bear on challenging problems requiring creative solutions. Subjects include: Structural static and vibration problems Heat conduction and diffusion problems Fluid dynamics problems The book also covers topics as diverse as soft computing and machine intelligence. It concludes with examinations of various fields of application, like infectious diseases, autonomous car and monotone inclusion problems.

Handbook of Research on Novel Soft Computing Intelligent Algorithms Book

Handbook of Research on Novel Soft Computing Intelligent Algorithms


  • Author : Pandian Vasant
  • Publisher : IGI Global
  • Release Date : 2013-08-31
  • Genre: Technology & Engineering
  • Pages : 1004
  • ISBN 10 : 9781466644519

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Handbook of Research on Novel Soft Computing Intelligent Algorithms Excerpt :

"This book explores emerging technologies and best practices designed to effectively address concerns inherent in properly optimizing advanced systems, demonstrating applications in areas such as bio-engineering, space exploration, industrial informatics, information security, and nuclear and renewable energies"--Provided by publisher.

Soft Computing Based Nonlinear Control Systems Design Book

Soft Computing Based Nonlinear Control Systems Design


  • Author : Singh, Uday Pratap
  • Publisher : IGI Global
  • Release Date : 2018-02-09
  • Genre: Computers
  • Pages : 388
  • ISBN 10 : 9781522535324

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Soft Computing Based Nonlinear Control Systems Design Excerpt :

A critical part of ensuring that systems are advancing alongside technology without complications is problem solving. Practical applications of problem-solving theories can model conflict and cooperation and aid in creating solutions to real-world problems. Soft-Computing-Based Nonlinear Control Systems Design is a critical scholarly publication that examines the practical applications of control theory and its applications in problem solving to fields including economics, environmental management, and financial modelling. Featuring a wide range of topics, such as fuzzy logic, nature-inspired algorithms, and cloud computing, this book is geared toward academicians, researchers, and students seeking relevant research on control theory and its practical applications.

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems Book

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems


  • Author : Snehashish Chakraverty
  • Publisher : Springer Nature
  • Release Date : 2022-05-31
  • Genre: Mathematics
  • Pages : 152
  • ISBN 10 : 9783031024245

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Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems Excerpt :

Uncertainty is an inseparable component of almost every measurement and occurrence when dealing with real-world problems. Finding solutions to real-life problems in an uncertain environment is a difficult and challenging task. As such, this book addresses the solution of uncertain static and dynamic problems based on affine arithmetic approaches. Affine arithmetic is one of the recent developments designed to handle such uncertainties in a different manner which may be useful for overcoming the dependency problem and may compute better enclosures of the solutions. Further, uncertain static and dynamic problems turn into interval and/or fuzzy linear/nonlinear systems of equations and eigenvalue problems, respectively. Accordingly, this book includes newly developed efficient methods to handle the said problems based on the affine and interval/fuzzy approach. Various illustrative examples concerning static and dynamic problems of structures have been investigated in order to show the reliability and efficacy of the developed approaches.

Artificial Intelligence and Soft Computing Book

Artificial Intelligence and Soft Computing


  • Author : Leszek Rutkowski
  • Publisher : Springer
  • Release Date : 2019-05-27
  • Genre: Computers
  • Pages : 688
  • ISBN 10 : 9783030209124

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Artificial Intelligence and Soft Computing Excerpt :

The two-volume set LNCS 11508 and 11509 constitutes the refereed proceedings of of the 18th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2019, held in Zakopane, Poland, in June 2019. The 122 revised full papers presented were carefully reviewed and selected from 333 submissions. The papers included in the first volume are organized in the following five parts: neural networks and their applications; fuzzy systems and their applications; evolutionary algorithms and their applications; pattern classification; artificial intelligence in modeling and simulation. The papers included in the second volume are organized in the following five parts: computer vision, image and speech analysis; bioinformatics, biometrics, and medical applications; data mining; various problems of artificial intelligence; agent systems, robotics and control.

Analysis and Design of Intelligent Systems Using Soft Computing Techniques Book

Analysis and Design of Intelligent Systems Using Soft Computing Techniques


  • Author : Patricia Melin
  • Publisher : Springer Science & Business Media
  • Release Date : 2007-06-05
  • Genre: Computers
  • Pages : 855
  • ISBN 10 : 9783540724315

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Analysis and Design of Intelligent Systems Using Soft Computing Techniques Excerpt :

This book comprises a selection of papers on new methods for analysis and design of hybrid intelligent systems using soft computing techniques from the IFSA 2007 World Congress, held in Cancun, Mexico, June 2007.

Recurrent Neural Networks and Soft Computing Book

Recurrent Neural Networks and Soft Computing


  • Author : Mahmoud ElHefnawi
  • Publisher : BoD – Books on Demand
  • Release Date : 2012-03-30
  • Genre: Computers
  • Pages : 304
  • ISBN 10 : 9789535104094

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Recurrent Neural Networks and Soft Computing Excerpt :

New applications in recurrent neural networks are covered by this book, which will be required reading in the field. Methodological tools covered include ranking indices for fuzzy numbers, a neuro-fuzzy digital filter and mapping graphs of parallel programmes. The scope of the techniques profiled in real-world applications is evident from chapters on the recognition of severe weather patterns, adult and foetal ECGs in healthcare and the prediction of temperature time-series signals. Additional topics in this vein are the application of AI techniques to electromagnetic interference problems, bioprocess identification and I-term control and the use of BRNN-SVM to improve protein-domain prediction accuracy. Recurrent neural networks can also be used in virtual reality and nonlinear dynamical systems, as shown by two chapters.

Advances in Soft Computing Book

Advances in Soft Computing


  • Author : Ildar Batyrshin
  • Publisher : Springer
  • Release Date : 2011-11-22
  • Genre: Computers
  • Pages : 534
  • ISBN 10 : 9783642253300

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Advances in Soft Computing Excerpt :

The two-volume set LNAI 7094 and 7095 constitutes the refereed proceedings of the 10th Mexican International Conference on Artificial Intelligence, MICAI 2011, held in Puebla, Mexico, in November/December 2011. The 96 revised papers presented were carefully selected from XXX submissions. The second volume contains 46 papers focusing on soft computing. The papers are organized in the following topical sections: fuzzy logic, uncertainty and probabilistic reasoning; evolutionary algorithms and other naturally-inspired algorithms; data mining; neural networks and hybrid intelligent systems; and computer vision and image processing.

Soft Computing and Its Applications Book

Soft Computing and Its Applications


  • Author : R A Aliev
  • Publisher : World Scientific Publishing Company
  • Release Date : 2001-09-06
  • Genre: Uncategoriezed
  • Pages : 460
  • ISBN 10 : 9789813105874

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Soft Computing and Its Applications Excerpt :

The concept of soft computing is still in its initial stages of crystallization. Presently available books on soft computing are merely collections of chapters or articles about different aspects of the field. This book is the first to provide a systematic account of the major concepts and methodologies of soft computing, presenting a unified framework that makes the subject more accessible to students and practitioners. Particularly worthy of note is the inclusion of a wealth of information about neuro-fuzzy, neuro-genetic, fuzzy-genetic and neuro-fuzzy-genetic systems, with many illuminating applications and examples.

Soft Computing in Humanities and Social Sciences Book

Soft Computing in Humanities and Social Sciences


  • Author : Rudolf Seising
  • Publisher : Springer
  • Release Date : 2011-11-22
  • Genre: Technology & Engineering
  • Pages : 520
  • ISBN 10 : 9783642246722

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Soft Computing in Humanities and Social Sciences Excerpt :

The field of Soft Computing in Humanities and Social Sciences is at a turning point. The strong distinction between “science” and “humanities” has been criticized from many fronts and, at the same time, an increasing cooperation between the so-called “hard sciences” and “soft sciences” is taking place in a wide range of scientific projects dealing with very complex and interdisciplinary topics. In the last fifteen years the area of Soft Computing has also experienced a gradual rapprochement to disciplines in the Humanities and Social Sciences, and also in the field of Medicine, Biology and even the Arts, a phenomenon that did not occur much in the previous years. The collection of this book presents a generous sampling of the new and burgeoning field of Soft Computing in Humanities and Social Sciences, bringing together a wide array of authors and subject matters from different disciplines. Some of the contributors of the book belong to the scientific and technical areas of Soft Computing while others come from various fields in the humanities and social sciences such as Philosophy, History, Sociology or Economics. Rudolf Seising received a Ph.D. degree in philosophy of science and a postdoctoral lecture qualification (PD) in history of science from the Ludwig Maximilians University of Munich. He is an Adjoint Researcher at the European Centre for Soft Computing in Mieres (Asturias), Spain. Veronica Sanz earned a Ph.D. in Philosophy at the University Complutense of Madrid (Spain). At the moment she is a Postdoctoral Researcher at the Science, Technology and Society Center in the University of California at Berkeley. Veronica Sanz earned a Ph.D. in Philosophy at the University Complutense of Madrid (Spain). At the moment she is a Postdoctoral Researcher at the Science, Technology and Society Center in the University of California at Berkeley.

Soft Computing Models in Industrial and Environmental Applications Book

Soft Computing Models in Industrial and Environmental Applications


  • Author : Václav Snášel
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-08-23
  • Genre: Technology & Engineering
  • Pages : 548
  • ISBN 10 : 9783642329227

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Soft Computing Models in Industrial and Environmental Applications Excerpt :

This volume of Advances in Intelligent and Soft Computing contains accepted papers presented at SOCO 2012, held in the beautiful and historic city of Ostrava (Czech Republic), in September 2012. Soft computing represents a collection or set of computational techniques in machine learning, computer science and some engineering disciplines, which investigate, simulate, and analyze very complex issues and phenomena. After a through peer-review process, the SOCO 2012 International Program Committee selected 75 papers which are published in these conference proceedings, and represents an acceptance rate of 38%. In this relevant edition a special emphasis was put on the organization of special sessions. Three special sessions were organized related to relevant topics as: Soft computing models for Control Theory & Applications in Electrical Engineering, Soft computing models for biomedical signals and data processing and Advanced Soft Computing Methods in Computer Vision and Data Processing. The selection of papers was extremely rigorous in order to maintain the high quality of the conference and we would like to thank the members of the Program Committees for their hard work in the reviewing process. This is a crucial process to the creation of a high standard conference and the SOCO conference would not exist without their help.

Computational Intelligence  Soft Computing and Fuzzy Neuro Integration with Applications Book

Computational Intelligence Soft Computing and Fuzzy Neuro Integration with Applications


  • Author : Okyay Kaynak
  • Publisher : Springer Science & Business Media
  • Release Date : 2012-12-06
  • Genre: Computers
  • Pages : 542
  • ISBN 10 : 9783642589300

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Computational Intelligence Soft Computing and Fuzzy Neuro Integration with Applications Excerpt :

Soft computing is a consortium of computing methodologies that provide a foundation for the conception, design, and deployment of intelligent systems and aims to formalize the human ability to make rational decisions in an environment of uncertainty and imprecision. This book is based on a NATO Advanced Study Institute held in 1996 on soft computing and its applications. The distinguished contributors consider the principal constituents of soft computing, namely fuzzy logic, neurocomputing, genetic computing, and probabilistic reasoning, the relations between them, and their fusion in industrial applications. Two areas emphasized in the book are how to achieve a synergistic combination of the main constituents of soft computing and how the combination can be used to achieve a high Machine Intelligence Quotient.