Soft Numerical Computing in Uncertain Dynamic Systems Book

Soft Numerical Computing in Uncertain Dynamic Systems


  • Author : Tofigh Allahviranloo
  • Publisher : Academic Press
  • Release Date : 2020-09-03
  • Genre: Computers
  • Pages : 388
  • ISBN 10 : 9780128228555
  • Total Read : 86
  • File Size : 17,5 Mb

DOWNLOAD BOOK
Soft Numerical Computing in Uncertain Dynamic Systems Summary:

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 mathematical m

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
  • Total Read : 64
  • File Size : 16,8 Mb

DOWNLOAD BOOK
Soft Numerical Computing in Uncertain Dynamic Systems Summary:

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 : 2021-09-02
  • Genre: Computers
  • Pages : 160
  • ISBN 10 : 9781000432466
  • Total Read : 65
  • File Size : 17,5 Mb

DOWNLOAD BOOK
Soft Computing Approach for Mathematical Modeling of Engineering Problems Summary:

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 met

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
  • Total Read : 81
  • File Size : 5,7 Mb

DOWNLOAD BOOK
Mathematical Methods in Interdisciplinary Sciences Summary:

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.

Soft Computing in Interdisciplinary Sciences Book

Soft Computing in Interdisciplinary Sciences


  • Author : S. Chakraverty
  • Publisher : Springer Nature
  • Release Date : 2021-11-01
  • Genre: Technology & Engineering
  • Pages : 264
  • ISBN 10 : 9789811647130
  • Total Read : 90
  • File Size : 18,9 Mb

DOWNLOAD BOOK
Soft Computing in Interdisciplinary Sciences Summary:

This book meets the present and future needs for the interaction between various science and technology/engineering areas on the one hand and different branches of soft computing on the other. Soft computing is the recent development about the computing methods which include fuzzy set theory/logic, evolutionary computation (EC), probabilistic reasoning, artificial neural networks, machine learning, expert systems, etc. Soft computing refers to a partnership of computational techniques in computer science, artificial intelligence, machine learning, and some other engineering disciplines, which attempt to study, model, and analyze complex problems from different interdisciplinary problems. This, as opposed to traditional computing, deals with approximate models and gives solutions to complex real-life problems. Unlike hard computing, soft computing is tolerant of imprecision, uncertainty, partial truth, and approximations. Interdisciplinary sciences include various challenging problems of science and engineering. Recent developments in soft computing are the bridge to handle different interdisciplinary science and engineering problems. In recent years, the correspondingly increased dialog between these disciplines has led to this new book. This is done, firstly, by encouraging the ways that soft computing may be applied in traditional areas, as well as point towards new and innovative areas of applications and secondly, by encouraging other scientific disciplines to engage in a dialog with the above computation algorithms outlining their problems to both access new methods as well as to suggest innovative developments within itself.

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
  • Total Read : 89
  • File Size : 20,6 Mb

DOWNLOAD BOOK
Handbook of Research on Novel Soft Computing Intelligent Algorithms Summary:

"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
  • Total Read : 92
  • File Size : 14,9 Mb

DOWNLOAD BOOK
Soft Computing Based Nonlinear Control Systems Design Summary:

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
  • Total Read : 65
  • File Size : 8,9 Mb

DOWNLOAD BOOK
Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems Summary:

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.