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) |
| FullText | Links: – Type: ebook-pdf Text: Availability: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A New Paradigm Of Knowledge Engineering By Soft Computing – Name: Abstract Label: Description Group: Ab 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. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Liya+Ding%22">Liya Ding</searchLink> – Name: TypePub Label: Resource Type Group: TypPub Data: eBook. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29--Congresses%22">Expert systems (Computer science)--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+computing%22">Soft computing</searchLink><br /><searchLink fieldCode="DE" term="%22Soft+computing--Congresses%22">Soft computing--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems--Congresses%22">Fuzzy systems--Congresses</searchLink><br /><searchLink fieldCode="DE" term="%22Fuzzy+systems%22">Fuzzy systems</searchLink><br /><searchLink fieldCode="DE" term="%22Expert+systems+%28Computer+science%29%22">Expert systems (Computer science)</searchLink> – Name: SubjectBISAC Label: Categories Group: Su Data: <searchLink fieldCode="ZK" term="%22COMPUTERS+%2F+Logic+Design%22">COMPUTERS / Logic Design</searchLink> |
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| RecordInfo | BibRecord: 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 BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Liya Ding – PersonEntity: Name: NameFull: Liya Ding IsPartOfRelationships: – BibEntity: 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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