6 edition of Soft Computing & Its Applications found in the catalog.
October 15, 2001 by World Scientific Publishing Company .
Written in English
|The Physical Object|
|Number of Pages||460|
This book gives an introduction to Soft Computing, which aims to exploit tolerance for imprecision, uncertainty, approximate reasoning, and partial truth in order to achieve close resemblance with human like decision making/5(34). Soft computing facilitates the use of fuzzy logic, neurocomputing, evolutionary computing and probabilistic computing in combination, leading to the concept of hybrid intelligent systems. The combination of such intelligent systems tools and a large number of applications introduce a need for a synergy of scientific and technological Brand: Springer International Publishing.
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The book contains several real-life applications to present the utility and potential of soft computing. The book: • Discusses the present state of art of soft computing • Includes the existing application areas of soft computing • Presents original research contributions • Discusses the future scope of work in soft computingCited by: 2.
Now Soft Computing is the only solution when we do not have any mathematical modeling of problem-solving (i.e., algorithm), in real-time, there is a need to solve a complex problem, adapt with the changed scenario and be implemented with parallel computing.
It has massive applications in many application zones such as medical diagnosis, computer vision, machine. Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by meditation.
This book is an introduction to some new fields in soft computing with its principal components of fuzzy logic, ANN and EA and it is hoped that it would be quite useful to study the fundamental concepts on these topics for the 4/5(2).
The appearance of a book like this one helps spread awareness about the new techniques based on soft computing and is thus a welcome addition. In this book a cross-section of these techniques is introduced and their applications illustrated by examples from physical systems based on the author’s own research.
This book focuses on soft computing and its applications to solve real-life problems occurring in different domains ranging from medical and health care, supply chain management and image processing to cryptanalysis. It presents the proceedings of International Conference on Soft Computing: Theories and Applications (SoCTA ), offering.
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 Price: $ What is soft computing Techniques used in soft computing 2 What is Soft Computing.
(adapted from L.A. Zadeh) • Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. In effect, the role model for soft computing is the human mind. 3File Size: KB. Soft computing is a collection of algorithms that are employed for finding a solution for very complex problems; the ones for which more conventional methods have not yielded low cost & time-feasible solutions.
When we are speaking of low cost, we. Cite this chapter as: Aliev R.A., Fazlollahi B., Aliev R.R. () Constituent Methodologies of Soft Computing. In: Soft Computing and its Applications in Business and : Rafik Aziz Aliev, Bijan Fazlollahi, Rashad Rafik Aliev.
In book: Kansei Engineering and Soft Computing: Theory and Practice, Chapter: Soft Computing and its Applications, Publisher: IGI Global, Editors:. The evolution of soft computing applications has offered a multitude of methodologies and techniques that are useful in facilitating new ways to address practical and real scenarios in Author: Menal Dahiya.
This is volume 1 of the two-volume set Soft Computing and Its Applications. This volume explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The book starts with coverage of fuzzy sets and fuzzy logic and their various approac.
This book focuses on soft computing and its applications to solve real-life problems occurring in different domains ranging from medical and health care, supply chain management and image processing to cryptanalysis.
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Authored by leading contributors to soft computing and its applications, SC-BE is a sequel to an earlier book by Professors R. Aliev and R. Aliev, "Soft Computing and Its Applications," World Scientific, l. Soft computing and its applications. [Kumar S Ray] Book: All Authors / Contributors: Kumar S Ray.
Find more information about: ISBN: X # Soft. COVID Resources. Reliable information about the coronavirus (COVID) is available from the World Health Organization (current situation, international travel).Numerous and frequently-updated resource results are available from this ’s WebJunction has pulled together information and resources to assist library staff as they consider how to handle.
The approach in this book is to provides an understanding of the soft computing field, to work through soft computing using examples, to integrate pseudo - code operational summaries and Matlab codes, to present computer simulation, to include real world applications and to highlight the distinctive work of human consciousness in machine.
Soft Computing and Its Applications: Volumes One and Two - CRC Press Book. This two-volume set explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The books start with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning and go on to.
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.
Book Description. This is volume 2 of the two-volume Soft Computing and Its Applications. This volume discusses several advanced features of soft computing and hybrid methodologies. This new book essentially contains the advanced features of soft computing and different hybrid methodologies for soft computing.
Soft Computing and Its Applications: Volumes One and Two This two-volume set explains the primary tools of soft computing as well as provides an abundance of working examples and detailed design studies. The books start with coverage of fuzzy sets and fuzzy logic and their various approaches to fuzzy reasoning and go on to discuss several.
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the mathematical structures, or models, that underlie learning, while fuzzy logic systems (FLS) enable us to embed structured human knowledge into workable algorithms.
The book assumes that it is not only. The book contains several real-life applications to present the utility and potential of soft computing. The book: • Discusses the present state of art of soft computing • Includes the existing application areas of soft computing • Presents original research contributions • Discusses the future scope of work in soft computing.
The subject is being called soft computing and computational intelligence. With acceptance of the research fundamentals in these important areas, the field is expanding into direct applications through engineering and systems science.
This book cover the fundamentals of this emerging filed, as well as direct applications and case studies. Soft Computing and its Applications: /ch Soft Computing is a relatively new computing paradigm bestowed with tools and techniques for handling real world problems.
The main components of thisAuthor: Siddhartha Bhattacharyya, Ujjwal Maulik, Sanghamitra Bandyopadhyay. These include soft computing techniques in yarn manufacture and modelling, fabric and garment manufacture, textile properties and applications and textile quality evaluation.
Show less Soft computing refers to a collection of computational techniques which study, model and analyse complex phenomena. This text provides the first comprehensive treatment of the methodologies underlying neuro-fuzzy and soft computing, an evolving branch within the scope of computational intelligence.
The book places equal emphasis on theoretical aspects of covered methodologies, empirical observations and verifications of various applications in bility: Available.
Soft computing is the use of approximate calculations to provide imprecise but usable solutions to complex computational problems. The approach enables solutions for problems that may be either unsolvable or just too time-consuming to solve with current computing is sometimes referred to as computational intelligence.
The book focuses on soft computing and its applications to solve real-world problems in different domains, ranging from medicine and health care, to supply chain management, image processing and cryptanalysis.
The book focuses on soft computing and its applications to solve real-world problems in different domains, ranging from medicine and health care, to supply chain management, image processing and Rating: % positive.
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Click Download or Read Online button to get advances in soft computing and its applications book now. This site is like a library, Use search box in the widget to get ebook that you. Application of soft computing has provided the opportunity to integrate human-like vagueness and real-life uncertainty into an otherwise hard computer program.
This book highlights some of the recent developments in practical applications of soft computing in engineering problems. “Soft Computing and Intelligent Systems - Theory and Application”, by Naresh K. Sinha and Madan M.
Gupta (), Academic Press, Chapterpage 3 "Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (), Addison Wesley, chapterpage Soft Computing Techniques and Applications in Mechanical Engineering is a pivotal reference source for the latest research findings on a comprehensive range of soft computing techniques applied in various fields of mechanical engineering.
Featuring extensive coverage on relevant areas such as thermodynamics, fuzzy computing, and computational. WSC18 Book, the proceedings of the 18th Online World Conference on Soft-Computing in Industrial Applications (WSC18) is now available.
Read more. Promotion of Soft Computing. To foster Soft Computing as key methodology and practical discipline, stepping up with the challenges and complexity demands of 21st century technologies.
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Book Abstract: A NOVEL APPROACH TO DECISION ENGINEERING, WITH A VERIFIED FRAMEWORK FOR MODELING HUMAN REASONING. Soft Computing Evaluation Logic provides an in-depth examination of evaluation decision problems and presents comprehensive guidance toward the use of the Logic Scoring of Preference (LSP) method in modeling.
Soft Computing Evaluation Logic: The LSP Decision Method and Its Applications (Wiley - IEEE) View larger image. and a verified decision engineering framework applicable to a broad array of applications, this book is an invaluable resource for graduate students, researchers, and practitioners working within the decision engineering realm.
Soft computing 1. PRESENTED BY: GANESH PAUL TT – IT(02) 2. What is Soft Computing?Soft computing is an emerging approach to computing which parallel the remarkable ability of the human mind to reason and learn in a environment of uncertainty and of it’s principle components includes: Neural Network(NN) Fuzzy Logic(FL).
Filling this need, Real Life Applications of Soft Computing explains such applications, including the underlying technology and its implementation.
While these systems initially seem complex, the authors clearly demonstrate how they can be modeled, designed, and implemented. Written in a manner that makes it accessible to novices, the book Author: Anupam Shukla, Ritu Tiwari, Rahul Kala.OverviewThis is a comprehensive textbook on fundamentals ofmethodologies and practices in soft computing domain for students of undergraduateand postgraduate engineering and allied courses who have opted for this s on the subject have deftly explained the concepts with help of examplesand pseudo algorithms for various methods.
Since computational .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. This Conference is mainly focus on its industrial and environmental applications.