2 edition of Soft Computing Techniques and Applications (Advances in Soft Computing) found in the catalog.
March 7, 2000
by Physica-Verlag Heidelberg
|Contributions||Robert John (Editor), Ralph Birkenhead (Editor)|
|The Physical Object|
|Number of Pages||267|
principles of soft computing Download principles of soft computing or read online books in PDF, EPUB, Tuebl, and Mobi Format. Click Download or Read Online button to get principles of soft computing book now. This site is like a library, Use search box in the widget to get ebook that you want. Soft Computing could be a computing model evolved to resolve the non-linear issues that involve unsure, imprecise and approximate solutions of a tangle. These sorts of issues square measure thought of as real-life issues wherever the human-like intelligence is needed to resolve it.
Applications of Soft Computing techniques to solve a number of real life problems will be covered to have hands on practices. In summary, this course will provide exposure to theory as well as practical systems and software used in soft computing. After completing this course, you will be able to learn: Fuzzy logic and its applications. In contrast, soft computing is used where the problem is not adequately specified for the use of conventional math and computer techniques. Soft computing has numerous real-world applications in domestic, commercial and industrial situations.
Real Life Applications of Soft Computing - CRC Press Book Rapid advancements in the application of soft computing tools and techniques have proven valuable in the development of highly scalable systems and resulted in brilliant applications, including those in biometric identification, interactive voice response systems, and data mining. Hybrid Soft Computing Approaches: Research and Applications PDF Download for free: Book Description: The book provides a platform for dealing with the flaws and failings of the soft computing paradigm through different manifestations. The different chapters highlight the necessity of the hybrid soft computing methodology in general with emphasis on several application perspectives in particular.
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This book provides a comprehensive knowledge of the fundamental concepts and techniques in soft computing, which is a burning topic of research now-a-days in the field of computational Author: Mrutyunjaya Panda.
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 by: The combined techniques, such as GA-FL, GA-NN, NN-FL and GA-FL-NN are then explained, and the last chapter deals with the applications of soft computing in two different fields of research.
It has been written to fulfill the requirements of a large number of readers belonging to various disciplines of engineering and general by: "Soft Computing and Intelligent Systems Design - Theory, Tools and Applications", by Fakhreddine karray and Clarence de Silva (), Addison Wesley, chapterpage 4 “Neuro-Fuzzy and Soft Computing: A Computational Approach to Learning and Machine Intelligence” by J.
Jang, C. Sun, and E. Mizutani, (), Prentice Hall. Soft Computing encourages the integration of soft computing techniques and tools into both everyday and advanced applications. By linking the ideas and techniques of Soft Computing Techniques and Applications book computing with other disciplines, the journal serves as a unifying platform that fosters comparisons, extensions, and new applications.
The objective of SoCTA is to provide a common platform to researchers, academicians, scientists, and industrialists working in the area of soft computing to share and exchange their views and ideas on the theory and application of soft computing techniques in multi-disciplinary areas.
Techniques and its Applications in Electrical Engineering Intuitive consciousness/ wisdom is also one of the frontline areas in soft computing, which has to be always cultivated by : D.
Chaturvedi. 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 intelligence, weather.
Soft Computing consists of numerous techniques that study the biological processes such as reasoning, genetic evolution, survival of the creatures and human nervous system. SC is an umbrella term that thoroughly study the simulation of reasoning, human nervous system and evolution in.
Book Description. This book provides insights into contemporary issues and challenges in soft computing applications and techniques in healthcare. It will be a useful guide to identify, categorize, and access the role of different soft computing techniques for disease.
Series Editor: Dr S. Balamurugan Scope: Artificial Intelligence and Soft Computing Techniques play an impeccable role in industrial transformation.
The topics to be covered in this book series include Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Fuzzy Logic, Genetic Algorithms, Particle Swarm Optimization, Evolutionary Algorithms, Nature Inspired Algorithms.
The principal constituents of soft computing techniques are probabilistic reasoning, fuzzy logic, neuro-computing, genetic algorithms, belief networks, chaotic systems, as well as learning theory.
This book covers contributions from various authors to demonstrate the use of soft computing techniques in various applications of engineering. Book Description Soft computing is a branch of computer science that deals with a family of methods that imitate human intelligence.
This is done with the goal of creating tools that will contain some human-like capabilities (such as learning, reasoning and decision-making). 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. 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. This volume contains the Proceedings of the 5 th International Workshop on Soft Computing Applications (SOFA ). The book covers a broad spectrum of soft computing techniques, theoretical and practical applications employing knowledge and intelligence to find solutions for world industrial, economic and medical problems.
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.
Soft computing techniques and applications. New York: Physica-Verlag, © (OCoLC) Online version: Soft computing techniques and applications. New York: Physica-Verlag, © (OCoLC) Material Type: Conference publication, Internet resource: Document Type: Book, Internet Resource: All Authors / Contributors: Robert John.
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.
The book introduces the theory and concepts of digital image analysis and processing based on soft computing with real-world medical imaging applications. Comparative studies for soft computing based medical imaging techniques and traditional approaches in medicine are addressed, providing flexible and sophisticated application-oriented solutions.
The various techniques of soft computing and their applications in database technologies are discussed in the chapters of this book. The first chapter, titled “Fuzzy Database Modeling: An Overview and New Definitions,” by Angélica Urrutia and José Galindo gives an overview of fuzzy database modeling.This book will equip readers to provide soft computing techniques with low cost and reasonably good solutions to hard problems.
About the Author: Saroj Kaushik, Sunita Tewari Saroj Kaushik, Professor, Department of Computer Science and Engineering, Indian Institute of Technology, Delhi.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).