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5 edition of Computational intelligence for knowledge-based system design found in the catalog.

Computational intelligence for knowledge-based system design

13th International Conference on Information Processing and Management of Uncertainty, IPMU 2010, Dortmund, Germany, June 28-July 2, 2010 : proceedings

by International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (13th 2010 Dortmund, Germany)

  • 381 Want to read
  • 36 Currently reading

Published by Springer in Berlin .
Written in English

    Subjects:
  • Automatische Klassifikation,
  • Soft Computing,
  • Expert systems (Computer science),
  • Mustererkennung,
  • Computational intelligence,
  • Wissensbasiertes System,
  • Maschinelles Lernen,
  • Congresses,
  • Datenfusion,
  • Data Mining,
  • Unsicherheit,
  • Uncertainty (Information theory),
  • Aggregationsoperator

  • Edition Notes

    StatementEyke Hüllermeier, Rudolf Kruse, Frank Hoffmann (eds.).
    SeriesLecture notes in computer science -- 6178, Lecture notes in artificial intelligence, LNCS sublibrary. SL 7, Artificial intelligence, Lecture notes in computer science -- 6178., Lecture notes in computer science, LNCS sublibrary
    ContributionsHüllermeier, Eyke, Kruse, Rudolf, Hoffmann, Frank, 1964-
    Classifications
    LC ClassificationsQA76.76.E95 I545 2010
    The Physical Object
    Paginationxvii, 771 p. :
    Number of Pages771
    ID Numbers
    Open LibraryOL25313832M
    ISBN 103642140483
    ISBN 109783642140488
    LC Control Number2010929051
    OCLC/WorldCa646006887

      Mizoguchi and Kitamura () indicated that the ontology of an intelligent educational system as a whole consists of domain ontology, which characterizes the domain knowledge, and task ontology, which characterizes the computational architecture of knowledge-based systems. Computational intelligence in design and manufacturing. New York: John Wiley & Sons, (OCoLC) Online version: Kusiak, Andrew. Computational intelligence in design and manufacturing. New York: John Wiley & Sons, (OCoLC) Material Type: Internet resource: Document Type: Book, Internet Resource: All Authors. Advances in Computational Intelligence, Part I 14th International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems, IPMU , Catania, Italy, July 9 - 13,


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Computational intelligence for knowledge-based system design by International Conference on Information Processing and Management of Uncertainty in Knowledge-Based Systems (13th 2010 Dortmund, Germany) Download PDF EPUB FB2

Computational Intelligence for Knowledge-Based System Design 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, Proceedings. Editors: Hüllermeier, Eyke. This book contains thirty timely contributions in the emerging field of Computational Intelligence (CI) with reference to system control design and applications.

The three basic constituents ofCI are neural networks (NNs). fuzzy logic (FL) Computational intelligence for knowledge-based system design book fuzzy reasoning (FR). and genetic algorithms Cited by: 8. The development of computational intelligence (CI) systems was inspired by observable and imitable aspects of intelligent activity of human being and nature.

The essence of the systems based on computational intelligence is to process and interpret data of various nature so that that CI is strictly connected with the increase of available data as well as capabilities of their Manufacturer: Springer.

Computational Intelligence for Knowledge-Based Systems Design 13th International Conference on Information Processing and Management of Uncertainty, IPMUDortmund, Germany, June 28 - July 2, This pioneering book is the first to apply state-of-the-art computational intelligence techniques to all phases of manufacturing system design and operations.

It equips engineers with a superior array of new tools for optimizing their work Cited by: Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processing and Management of Uncertainty, IPMUDortmund, Germany, June 28 - July 2, Proceedings | Bernadette Bouchon-Meunier, Giulianella Coletti, Marie-Jeanne Computational intelligence for knowledge-based system design book, Maria Rifqi (auth.), Eyke Hüllermeier, Rudolf Kruse, Frank Hoffmann.

Computational intelligence systems usually incorporate hybrids of paradigms such as artificial neural networks, fuzzy systems, and evolutionary computation systems, augmented with knowledge elements. They are often designed to mimic one or more aspects of biological intelligence.

Computational Intelligence Assisted Design framework mobilises computational resources, makes use of multiple Computational Intelligence (CI) algorithms and reduces computational costs.

This book provides examples of real-world applications of technology. Case studies have been used to show the inte. This book can serve as a highly useful reference material for researchers, software engineers and graduate students and senior undergraduate students in Software Engineering and its sub-disciplines, Internet engineering, Computational Intelligence, management, operations research, and knowledge-based systems.

Zhang Y, Chen H, Lu J and Zhang G () Detecting and predicting the topic change of Knowledge-based Systems, Knowledge-Based Systems, C, (), Online publication date: 1-Oct Wang C, Xue B and Shang L PSO-based parameters selection for the bilateral filter in image denoising Proceedings of the Genetic and Evolutionary.

Computational intelligence with its underlying methodologies and tools helps address data analytics needs. The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based cturer: Springer.

Computational Intelligence: Synergies of Fuzzy Logic, Neural Networks and Evolutionary Computing presents an introduction to some of the cutting edge technological paradigms under the umbrella of computational intelligence.

Computational intelligence schemes are investigated with the development of a suitable framework for fuzzy logic, neural networks and. Computational intelligence is a well-established paradigm, where new theories with a sound biological understanding have been evolving.

The current experimental systems have many of the characteristics of biological computers (brains in other words) and are beginning to be built to perform a variety of tasks that are difficult or impossible to do with conventional computers.

Author Guidelines. Computational Intelligence publishes high-quality original theoretical or experimental research in computational (artificial) intelligence.

To facilitate publication, authors must check symbols, abbreviations, and technical terms for. efficiently. Computational intelligence attempts to mimic nature-inspired problem-solving strategies and methods. These strategies can be used to study, model and analyze complex systems such that it becomes feasible to handle them.

Key areas of computational intelligence are artificial neural networks, evolutionary computation and fuzzy systems. Computational Intelligence for Knowledge-Based Systems Design: 13th International Conference on Information Processing and Management of Uncertainty, IPMUDortmund, Germany, June 28 - July 2, Generally, computational intelligence is a set of nature-inspired computational methodologies and approaches to address complex real-world problems to which mathematical or traditional modelling can be useless for a few reasons: the processes might be too complex for mathematical reasoning, it might contain some uncertainties during the process, or the.

The main objective of this book series, "Transactions on Computational Science and Computational Intelligence", is to facilitate increased opportunities for cross-fertilization across CS and CI.

This book series will publish monographs, professional books, contributed volumes, and textbooks in Computational Science and Computational Intelligence. – Some Challenges and Grand Challenges for Computational Intelligence.

Edward A. Feigenbaum. In the Journal of ACM, No. 1, – Systems that Know What they’re Doing. Ron Brachman. Intelligent Systems, no. 6, pp   Computational Intelligence and Its Applications in Healthcare presents rapidly growing applications of computational intelligence for healthcare systems, including intelligent synthetic characters, man-machine interface, menu generators, user acceptance analysis, pictures archiving, and communication systems.

Computational intelligence is the study of the design Book Edition: 1. Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial.

Computational Intelligence (CI) is the theory, design, application and development of biologically and linguistically motivated computational paradigms.

Traditionally the three main pillars of CI have been Neural Networks, Fuzzy Systems and Evolutionary Computation. However, in time many nature inspired computing paradigms have evolved. Computational Intelligence supports Engineering Reports, a new Wiley Open Access journal dedicated to all areas of engineering and computer a broad scope and inclusive approach to publishing, Engineering Reports provides a unified and reputable outlet for rigorously peer-reviewed and well-conducted scientific research articles across its broad scope.

Part of the Studies in Computational Intelligence book series (SCI, volume 40) Log in to check access. Buy eBook. USD The Ant Colony Paradigm for Reliable Systems Design. Yun-Chia Liang, Alice E. Smith. Analyzing Fuzzy System Reliability Based on the Vague Set Theory. Shyi-Ming Chen.

This book covers the three fundamental topics that form the basis of computational intelligence: neural networks, fuzzy systems, and evolutionary computation.

The text focuses on inspiration, design, theory, and practical aspects of implementing procedures to solve real-world problems. In contrast, computational intelligence system solutions can often be prototyped in a few weeks to a few months and are implemented using available engineering and computational resources.

Indeed, computational intelligence tools are capable of being applied in many instances by “domain experts” rather than solely by “computer gurus.”File Size: KB. Get this from a library.

Computational intelligence for knowledge-based systems design: 13th International Conference on Information Processing and Management of Uncertainty, IPMUDortmund, Germany, June July 2, ; proceedings.

[Eyke Hüllermeier; Rudolf Kruse; Frank Hoffmann;] -- The book constitutes the refereed proceedings of the 13th International. What Is Computational Intelligence. Computational intelligence is the study of the design of intelligent agents. An agent is something that acts in an environment—it does something.

Agents include worms, dogs, thermostats, airplanes, humans, organizations, and society. An intel-ligent agent is a system that acts intelligently: What it File Size: 63KB. Computational Intelligence and Feature Selection provides readers with the background and fundamental ideas behind Feature Selection (FS), with an emphasis on techniques based on rough and fuzzy sets.

For readers who are less familiar with the subject, the book begins with an introduction to fuzzy set theory and fuzzy-rough set theory. methods defining Computational Intelligence as a field should be replaced by focus on problems to be solved, rather than hammers. Below some remarks on the current state of CI are made, based on analysis of journals and books with “computational intelligence” in their title.

Then a new definition of CI is proposed and some remarksFile Size: 39KB. The book explores this emerging field of research that applies principles of quantum mechanics to develop more efficient and robust intelligent systems. Conventional computational intelligence—or soft computing—is conjoined with quantum computing to achieve this objective.

The models covered can be applied to any endeavor which handles. Computational intelligence with its underlying methodologies and tools helps address data analytics book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based systems.

Computational intelligence for knowledge-based system design: 13th International Conference on Information Processing and Management of Uncertainty, IPMUDortmund, Germany, June July 2, proceedings. This pioneering book is the first to apply state-of-the-art computational intelligence techniques to all phases of manufacturing system design and operations.

It equips engineers with a superior array of new tools for optimizing their work in Integrated Product and Process Development/5(2). Find many great new & used options and get the best deals for Lecture Notes in Computer Science: Computational Intelligence for Knowledge-Based System Design: 13th IPMU Conference, Dortmund, Germany, June 28 - July 2, Proceedings (, Paperback) at the best online prices at eBay.

Free shipping for many products. The International Journal of Computational Intelligence Systems is an international peer reviewed journal and the official publication of the European Society for Fuzzy Logic and Technologies (EUSFLAT). The journal publishes original research on all aspects of applied computational intelligence, especially targeting papers demonstrating the use of techniques.

Article collections. Computational Intelligence Applications for Data Science. Edited by Ronei Marcos de Moraes, Luis Martínez. Last update October 25th anniversary of Knowledge-Based Systems.

Edited by Hamido Fujita, Jie Lu. Last update May Enhancing Experience Reuse and Learning. This book lays emphasis on practical applications and computational tools, which are very useful and important for further development of the computational intelligence field.

Focusing on evolutionary computation, neural networks, and fuzzy logic, the authors have constructed an approach to thinking about and working with computational. However, any organization, regardless of industry, can treat knowledge as an asset and reap the benefits.

For starters, consider developing a culture of knowledge sharing, set up knowledge management practices, and design a knowledge based system to transform business into something that relies on and values knowledge to make business decisions.

Computational intelligence with its underlying methodologies and tools helps address data analytics needs. The book is of interest to those researchers and practitioners involved in data science, Internet engineering, computational intelligence, management, operations research, and knowledge-based : Springer International Publishing.

This pioneering book is the first to apply state-of-the-art computational intelligence techniques to all phases of manufacturing system design and operations. It equips engineers with a superior array of new tools for optimizing their work in Integrated Product and Process : Andrew Kusiak.From its institution as the Neural Networks Council in the early s, the IEEE Computational Intelligence Society has rapidly grown into a robust community with a vision for addressing real-world issues with biologically-motivated computational paradigms.

The Society offers leading research in nature-inspired problem solving, including neural networks, evolutionary algorithms, fuzzy systems.Computational Intelligence is a discipline within Artificial Intelligence and it studies the topics of Fuzzy Sets and Systems, Neural Networks, Genetic Algorithms, Swarm Intelligence and.