Last edited by JoJozahn
Wednesday, November 11, 2020 | History

5 edition of Developments in Soft Computing (Advances in Soft Computing) found in the catalog.

Developments in Soft Computing (Advances in Soft Computing)

  • 178 Want to read
  • 38 Currently reading

Published by Physica-Verlag Heidelberg .
Written in English

    Subjects:
  • Artificial Intelligence,
  • Fuzzy Sets,
  • Computers,
  • Computers - General Information,
  • Computer Books: General,
  • Artificial Intelligence - General,
  • Artificial Neural Networks,
  • Computers / Artificial Intelligence,
  • Evolutionary Computing,
  • Fuzzy Logic,
  • Fuzzy-Logik,
  • evolutionäres Rechnen,
  • künstliche neuronale Netze,
  • Set Theory,
  • Congresses,
  • Soft computing

  • Edition Notes

    ContributionsRobert John (Editor), Ralph Birkenhead (Editor)
    The Physical Object
    FormatPaperback
    Number of Pages232
    ID Numbers
    Open LibraryOL12916817M
    ISBN 103790813613
    ISBN 109783790813616


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Developments in Soft Computing (Advances in Soft Computing) Download PDF EPUB FB2

This volume contains papers presented at the International Conference on Recent Advances in Soft Computing at De Montfort University in Leicester.

The contributions cover both theoretical developments and practical applications in the various areas of Soft Computing. Soft Computing has come of age. In particular, Artificial Neural Networks, Fuzzy Logic and Evolutionary Computing now play an important role in many domains where traditional techniques have been found wanting.

As this volume confirms, hybrid Developments in Soft Computing book that combine more than one of the Soft. ‎This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May, in Berkeley.

The book covers a w. Get this from a library. Developments in soft computing. [Robert John; Ralph Birkenhead;] -- "This volume contains papers presented at the International Conference on Recent Advances in Soft Computing at De Montfort University in Leicester.

The contributions cover both theoretical. Get this from a library. Developments in Soft Computing. [Robert John; Ralph Birkenhead] -- Soft Computing has come of age.

In particular, Artificial Neural Networks, Fuzzy Logic and Evolutionary Computing now play an important role in many domains where traditional techniques have been.

The book reports on the latest advances Developments in Soft Computing book challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data cturer: Springer.

Recent Developments and the New Direction in Soft-Computing Foundations and Applications: Selected Papers from the 6th World Conference on Soft USA (Studies in Fuzziness and Soft Computing) [Lotfi A. Zadeh, Ronald R. Yager, Shahnaz N. Shahbazova, Marek Z.

Reformat, Vladik Kreinovich] on *FREE* shipping on qualifying offers. This book is an authoritative. This book gathers authoritative contributions in the field of Soft Computing.

Based on selected papers presented at the 7th World Conference on Soft Computing, which was held on May 29–31,in Baku, Azerbaijan, it describes new theoretical advances, as well as cutting-edge methods and applications. 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 intelligence.

This book comprises a selection of papers on theoretical advances and applications of fuzzy logic and soft computing from the IFSA World Congress, held in Cancun, Mexico, June These papers constitute an important contribution to the theory and applications of fuzzy logic and soft computing.

This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications.

The book reports on the latest advances and challenges of soft computing. It gathers original scientific contributions written by top scientists in the field and covering theories, methods and applications in a number of research areas related to soft-computing, such as decision-making, probabilistic reasoning, image processing, control, neural networks and data : Springer International Publishing.

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).

With the development of soft computing in agricultural and biological engineering, techniques have integrated different soft computing techniques in a synergistic way.

It is advantageous to employ ANNs, fuzzy systems, and evolutionary algorithms in combination instead of exclusively (Hoffmann et al., ). Book PDF Available. computers s cience and computing in general.

A compu ter is an elect ronic device, which eventually led to the development of th e. Internet. Book Description 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.

This book reports on advanced theories and cutting-edge applications in the field of soft computing. The individual chapters, written by leading researchers, are based on contributions presented during the 4th World Conference on Soft Computing, held May, in Berkeley.

The book covers a wealth of key topics in soft computing, focusing on both fundamental aspects and applications. The three constituents of soft computing are fuzzy-logic-based computing, neurocomputing, and genetic algorithms.

Fuzzy logic contributes the capability of approximate reasoning, neurocomputing. Soft Computing: Developments, Methods and Applications 1st Edition Read & Download - By Alan Casey Soft Computing: Developments, Methods and Applications This book discusses developments, methods and applications of soft computing.

Chapter One depicts - Read Online Books. Soft Computing Soft Computing Fig. Development of soft computing. Novel Developments in Granular Computing: Applications for Advanced Human Reasoning and Soft Computation analyzes developments and current trends of granular computing, reviewing the most influential research and predicting future trends.

SVMs have emerged as very successful pattern recognition methods in recent years [16]. SVMs have yielded superior performance in various applications such as; text categorization [15], and face detection [12], content-based image retrieval [6], and learning image similarity [4].

The motivation here is detection of suspicious bags in a security situation. 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).

Beginning with an overview of intelligent soft computing, the book offers exhaustive coverage of artificial neural networks (ANN), discussing in detail ANN tracking in all the three generations of neural networks and their developments. This is followed by detailed chapters discussing fuzzy logic features and applications.

Computing Levels. The evolution of computing is approached here using Bertalanffy’s general systems theory (Bertalanffy, ).

This theory is based on the observation of discipline isomorphisms, when different specialist fields discover the same abstract equation or law in different contexts, e.g. a social agreement measure that matches a biological diversity measure (Whitworth, ). "Soft Computing for Information Processing and Analysis" includes reports from the front of soft computing in the internet industry and imparts knowledge and understanding of the significance of the fields accomplishments, new developments and future directions.

This carefully edited book has evolved from presentations made by the participants. Soft Computing is based on some biological induced methods such as genetics, development, and behavior, the warm of particles, the human nervous system, etc.

The journal of Soft Computing has more demand in the International market because this computing work on the real time application areas such as Fuzzy Logic, Expert System, Computational. "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. In particular, these concepts have created significant developments in the engineering field. 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. The book explores applications in soft computing and covers empirical properties of artificial neural network (ANN), evolutionary computing, fuzzy logic and statistical techniques. It presents basic and advanced concepts to help beginners and industry professionals get up to speed on the latest developments in soft computing and healthcare systems.

Beginning with an overview of intelligent soft computing, the book offers exhaustive coverage of artificial neural networks (ANN), discussing in detail ANN tracking in all the three generations of neural networks and their developments.

This is followed by detailed chapters discussing fuzzy logic features and s: 7. Components of soft computing include machine learning, fuzzy logic, evolutionary computation, and probabilistic theory. These components have the cognitive ability to learn effectively.

They deal with imprecision and good tolerance of uncertainty. Components of soft computing are needed for developing automated expert systems. These systems reduce human interventions so as.

Soft computing differs from conventional (hard) computing in that, unlike hard computing, it is tolerant of imprecision, uncertainty, partial truth, and approximation. But, the role model for soft computing is the human mind.

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Its biology-inspired approach to intelligent systems design combines approximate reasoning, artificial neural networks and evolutionary computing to solve real-world problems where conventional "crisp" computing Reviews: 6. Book Description: 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 a variety of fields.

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Print Book & E-Book. ISBNProduct Information. This book is an authoritative collection of contributions in the field of soft-computing. Based on selected works presented at the 6th World Conference on Soft Computing, held on May, in Berkeley, USA, it describes new theoretical advances, as well as cutting-edge methods and applications.

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