Soft Numerical Computing in Uncertain Dynamic Systems

Produk Detail:
  • Author : Tofigh Allahviranloo
  • Publisher : Academic Press
  • Pages : 388 pages
  • ISBN : 0128229942
  • Rating : /5 from reviews
CLICK HERE TO GET THIS BOOK >>>Soft Numerical Computing in Uncertain Dynamic Systems

Download or Read online Soft Numerical Computing in Uncertain Dynamic Systems full in PDF, ePub and kindle. this book written by Tofigh Allahviranloo and published by Academic Press which was released on 01 September 2020 with total page 388 pages. We cannot guarantee that Soft Numerical Computing in Uncertain Dynamic Systems book is available in the library, click Get Book button and read full online book in your kindle, tablet, IPAD, PC or mobile whenever and wherever You Like. 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 models and the concept of stability in uncertain environments Exposes readers to many soft numerical methods to simulate the solution function’s behavior

Soft Numerical Computing in Uncertain Dynamic Systems

Soft Numerical Computing in Uncertain Dynamic Systems
  • Author : Tofigh Allahviranloo,Witold Pedrycz
  • Publisher : Academic Press
  • Release : 01 September 2020
GET THIS BOOK Soft Numerical Computing in Uncertain Dynamic Systems

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

Soft Computing Approach for Mathematical Modeling of Engineering Problems

Soft Computing Approach for Mathematical Modeling of Engineering Problems
  • Author : Taylor & Francis Group
  • Publisher : CRC Press
  • Release : 04 September 2021
GET THIS BOOK Soft Computing Approach for Mathematical Modeling of Engineering Problems

This book describes the use of different mathematical modeling and soft computing techniques used to solve real world engineering problems. The book 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 real word 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

Kansei Engineering and Soft Computing Theory and Practice

Kansei Engineering and Soft Computing  Theory and Practice
  • Author : Dai, Ying,Chakraborty, Basabi,Shi, Minghui
  • Publisher : IGI Global
  • Release : 31 August 2010
GET THIS BOOK Kansei Engineering and Soft Computing Theory and Practice

Kansei Engineering and Soft Computing: Theory and Practice offers readers a comprehensive review of kansei engineering, soft computing techniques, and the fusion of these two fields from a variety of viewpoints. It explores traditional technologies, as well as solutions to real-world problems through the concept of kansei and the effective utilization of soft computing techniques. This publication is an essential read for professionals, researchers, and students in the field of kansei information processing and soft computing providing both theoretical and

Mathematical Methods in Interdisciplinary Sciences

Mathematical Methods in Interdisciplinary Sciences
  • Author : Snehashish Chakraverty
  • Publisher : John Wiley & Sons
  • Release : 15 July 2020
GET THIS BOOK Mathematical Methods in Interdisciplinary Sciences

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

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

Intelligent Techniques and Soft Computing for Nuclear Science and Engineering
  • Author : Da Ruan
  • Publisher : World Scientific
  • Release : 18 May 2021
GET THIS BOOK Intelligent Techniques and Soft Computing for Nuclear Science and Engineering

This book is divided into three parts. The first part, ?Mathematical Tools and New Developments?, provides basic tools to treat fuzzy set theory, rough set theory, fuzzy control, fuzzy modelling, decision support systems, and related applications. The second part, ?Intelligent Engineering Applications?, reports on engineering problems such as man-machine interface, risk analysis, image processing, robotics, knowledge-based engineering, expert systems, process control integration, diagnosis, measurements and interpretation by intelligent techniques and soft computing used for general engineering applications. The third part, ?

Computational Structural Dynamics and Earthquake Engineering

Computational Structural Dynamics and Earthquake Engineering
  • Author : Manolis Papadrakakis,Dimos C. Charmpis,Yannis Tsompanakis,Nikos D. Lagaros
  • Publisher : CRC Press
  • Release : 04 December 2008
GET THIS BOOK Computational Structural Dynamics and Earthquake Engineering

The increasing necessity to solve complex problems in Structural Dynamics and Earthquake Engineering requires the development of new ideas, innovative methods and numerical tools for providing accurate numerical solutions in affordable computing times. This book presents the latest scientific developments in Computational Dynamics, Stochastic Dynam

Computational Intelligence and Applications

Computational Intelligence and Applications
  • Author : Piotr S. Szczepaniak
  • Publisher : Physica
  • Release : 18 May 1999
GET THIS BOOK Computational Intelligence and Applications

The material presented in the book is divided into two main parts: Keynotes, and Case Studies. Five keynotes written by W. Pedrycz, D. Dubois and H. Prade, M.M. Gupta, P.M. Frank, and T. Kaczorek deal with: introduction into the concept and basic technologies of computational intelligence (CI), role of fuzzy logic in information engineering, paradigms of fuzzy neural computing, intelligent methods in fault diagnosis of technical plants, and with models of two-dimensional (2D) systems which are useful in

Mathematical and Computational Modeling and Simulation

Mathematical and Computational Modeling and Simulation
  • Author : Dietmar Möller
  • Publisher : Springer
  • Release : 18 May 2021
GET THIS BOOK Mathematical and Computational Modeling and Simulation

Mathematical and Computational Modeling and Simulation - a highly multi-disciplinary field with ubiquitous applications in science and engineering - is one of the key enabling technologies of the 21st century. This book introduces the reader to the use of mathematical and computational modeling and simulation in order to develop an understanding of the solution characteristics of a broad class of real-world problems. The relevant basic and advanced methodologies are explained in detail, with special emphasis on ill-defined problems. Some 15 simulation