A New Paradigm Of Knowledge Engineering By Soft Computing

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Title: A New Paradigm Of Knowledge Engineering By Soft Computing
Description: Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects.Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI world.This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems.
Authors: Liya Ding
Resource Type: eBook.
Subjects: Expert systems (Computer science)--Congresses, Soft computing, Soft computing--Congresses, Fuzzy systems--Congresses, Fuzzy systems, Expert systems (Computer science)
Categories: COMPUTERS / Logic Design
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 235875
RelevancyScore: 972
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 972.249633789063
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  Data: A New Paradigm Of Knowledge Engineering By Soft Computing
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  Label: Description
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  Data: Soft computing (SC) consists of several computing paradigms, including neural networks, fuzzy set theory, approximate reasoning, and derivative-free optimization methods such as genetic algorithms. The integration of those constituent methodologies forms the core of SC. In addition, the synergy allows SC to incorporate human knowledge effectively, deal with imprecision and uncertainty, and learn to adapt to unknown or changing environments for better performance. Together with other modern technologies, SC and its applications exert unprecedented influence on intelligent systems that mimic human intelligence in thinking, learning, reasoning, and many other aspects.Knowledge engineering (KE), which deals with knowledge acquisition, representation, validation, inferencing, explanation, and maintenance, has made significant progress recently, owing to the indefatigable efforts of researchers. Undoubtedly, the hot topics of data mining and knowledge/data discovery have injected new life into the classical AI world.This book tells readers how KE has been influenced and extended by SC and how SC will be helpful in pushing the frontier of KE further. It is intended for researchers and graduate students to use as a reference in the study of knowledge engineering and intelligent systems. The reader is expected to have a basic knowledge of fuzzy logic, neural networks, genetic algorithms, and knowledge-based systems.
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  Data: <searchLink fieldCode="AR" term="%22Liya+Ding%22">Liya Ding</searchLink>
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  BibEntity:
    Classifications:
      – Code: 006.3
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Expert systems (Computer science)--Congresses
        Type: general
      – SubjectFull: Soft computing
        Type: general
      – SubjectFull: Soft computing--Congresses
        Type: general
      – SubjectFull: Fuzzy systems--Congresses
        Type: general
      – SubjectFull: Fuzzy systems
        Type: general
      – SubjectFull: Expert systems (Computer science)
        Type: general
    Titles:
      – TitleFull: A New Paradigm Of Knowledge Engineering By Soft Computing
        Type: main
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          Name:
            NameFull: Liya Ding
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            NameFull: Liya Ding
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2001
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9789810245177
            – Type: isbn-electronic
              Value: 9789812794604
          Numbering:
            – Type: volume
              Value: 00005
          Titles:
            – TitleFull: A New Paradigm Of Knowledge Engineering By Soft Computing
              Type: main
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