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 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

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  • Author : Tofigh Allahviranloo
  • Publisher : Academic Press
  • Pages : 388 pages
  • ISBN : 0128229942
  • Rating : 4/5 from 21 reviews
CLICK HERE TO GET THIS BOOKSoft Numerical Computing in Uncertain Dynamic Systems

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 BOOKSoft 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 : Ali Ahmadian,Soheil Salahshour
  • Publisher : CRC Press
  • Release : 03 September 2021
GET THIS BOOKSoft Computing Approach for Mathematical Modeling of Engineering Problems

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

Mathematical Methods in Interdisciplinary Sciences

Mathematical Methods in Interdisciplinary Sciences
  • Author : Snehashish Chakraverty
  • Publisher : John Wiley & Sons
  • Release : 02 June 2020
GET THIS BOOKMathematical 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

Soft-Computing-Based Nonlinear Control Systems Design

Soft-Computing-Based Nonlinear Control Systems Design
  • Author : Singh, Uday Pratap,Tiwari, Akhilesh,Singh, Rajeev Kumar
  • Publisher : IGI Global
  • Release : 09 February 2018
GET THIS BOOKSoft-Computing-Based Nonlinear Control Systems Design

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

Handbook of Research on Novel Soft Computing Intelligent Algorithms

Handbook of Research on Novel Soft Computing Intelligent Algorithms
  • Author : Pandian Vasant
  • Publisher : IGI Global
  • Release : 31 August 2013
GET THIS BOOKHandbook of Research on Novel Soft Computing Intelligent Algorithms

"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.

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

Affine Arithmetic Based Solution of Uncertain Static and Dynamic Problems
  • Author : Snehashish Chakraverty,Saudamini Rout
  • Publisher : Springer Nature
  • Release : 31 May 2022
GET THIS BOOKAffine Arithmetic Based Solution of Uncertain Static and Dynamic Problems

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

Artificial Intelligence and Soft Computing

Artificial Intelligence and Soft Computing
  • Author : Leszek Rutkowski,Rafał Scherer,Marcin Korytkowski,Witold Pedrycz,Ryszard Tadeusiewicz,Jacek M. Zurada
  • Publisher : Springer
  • Release : 27 May 2019
GET THIS BOOKArtificial Intelligence and Soft Computing

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

Analysis and Design of Intelligent Systems Using Soft Computing Techniques

Analysis and Design of Intelligent Systems Using Soft Computing Techniques
  • Author : Patricia Melin,Oscar Castillo,Eduardo G. Ramírez,Witold Pedrycz
  • Publisher : Springer Science & Business Media
  • Release : 05 June 2007
GET THIS BOOKAnalysis and Design of Intelligent Systems Using Soft Computing Techniques

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

Recurrent Neural Networks and Soft Computing
  • Author : Mahmoud ElHefnawi,Mohamed Mysara
  • Publisher : BoD – Books on Demand
  • Release : 30 March 2012
GET THIS BOOKRecurrent Neural Networks and Soft Computing

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

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

Computational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications
  • Author : Okyay Kaynak,Lotfi A. Zadeh,Burhan Türksen,Imre J. Rudas
  • Publisher : Springer Science & Business Media
  • Release : 06 December 2012
GET THIS BOOKComputational Intelligence: Soft Computing and Fuzzy-Neuro Integration with Applications

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,

Advances in Soft Computing

Advances in Soft Computing
  • Author : Ildar Batyrshin,Grigori Sidorov
  • Publisher : Springer
  • Release : 22 November 2011
GET THIS BOOKAdvances in Soft Computing

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

Soft Computing and Its Applications
  • Author : R A Aliev,R R Aliev
  • Publisher : World Scientific Publishing Company
  • Release : 06 September 2001
GET THIS BOOKSoft Computing and Its Applications

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,

Soft Computing in Humanities and Social Sciences

Soft Computing in Humanities and Social Sciences
  • Author : Rudolf Seising,Veronica Sanz González
  • Publisher : Springer
  • Release : 22 November 2011
GET THIS BOOKSoft Computing in Humanities and Social Sciences

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

Decision Making and Soft Computing

Decision Making and Soft Computing
  • Author : Ronei Marcos de Moraes,Etienne E Kerre,Liliane dos Santos Machado,Jie Lu
  • Publisher : World Scientific
  • Release : 07 July 2014
GET THIS BOOKDecision Making and Soft Computing

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 11th 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. Contents:Invited Lectures:The Contribution of Fuzzy Sets to Decision Sciences (D Dubois)Granular Fuzzy Systems: A New Direction in Soft Computing and Human Centric Decision-Making (Witold Pedrycz)Some Approaches Towards Lattice