Fuzzy logic and expert systems applications:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
San Diego
Academic Press
1998
|
| Schriftenreihe: | Neural network systems, techniques, and applications
v. 6 |
| Schlagworte: | |
| Beschreibung: | Print version record |
| Beschreibung: | 1 online resource (xix, 416 pages) illustrations |
| ISBN: | 9780080553191 0080553192 1281049735 9781281049735 |
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| 100 | 1 | |a Leondes, Cornelius T. |e Verfasser |4 aut | |
| 245 | 1 | 0 | |a Fuzzy logic and expert systems applications |c edited by Cornelius T. Leondes |
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| 490 | 0 | |a Neural network systems, techniques, and applications |v v. 6 | |
| 500 | |a Print version record | ||
| 505 | 8 | |a This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.; Key features include: Fuzzy system techniques applied to neural networks for modeling and control; systematic design procedures for realizing fuzzy neural systems; techniques for the design of rule-based expert systems; characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets; system identification and control; nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies | |
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Datensatz im Suchindex
| _version_ | 1804179160112824320 |
|---|---|
| any_adam_object | |
| author | Leondes, Cornelius T. |
| author_facet | Leondes, Cornelius T. |
| author_role | aut |
| author_sort | Leondes, Cornelius T. |
| author_variant | c t l ct ctl |
| building | Verbundindex |
| bvnumber | BV045342406 |
| classification_rvk | ST 200 ST 301 |
| collection | ZDB-4-ENC |
| contents | This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.; Key features include: Fuzzy system techniques applied to neural networks for modeling and control; systematic design procedures for realizing fuzzy neural systems; techniques for the design of rule-based expert systems; characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets; system identification and control; nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies |
| ctrlnum | (ZDB-4-ENC)ocn182548915 (OCoLC)182548915 (DE-599)BVBBV045342406 |
| dewey-full | 511.3 |
| dewey-hundreds | 500 - Natural sciences and mathematics |
| dewey-ones | 511 - General principles of mathematics |
| dewey-raw | 511.3 |
| dewey-search | 511.3 |
| dewey-sort | 3511.3 |
| dewey-tens | 510 - Mathematics |
| discipline | Informatik Mathematik |
| format | Electronic eBook |
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| indexdate | 2024-07-10T08:15:27Z |
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| isbn | 9780080553191 0080553192 1281049735 9781281049735 |
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| spelling | Leondes, Cornelius T. Verfasser aut Fuzzy logic and expert systems applications edited by Cornelius T. Leondes San Diego Academic Press 1998 1 online resource (xix, 416 pages) illustrations txt rdacontent c rdamedia cr rdacarrier Neural network systems, techniques, and applications v. 6 Print version record This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.; Key features include: Fuzzy system techniques applied to neural networks for modeling and control; systematic design procedures for realizing fuzzy neural systems; techniques for the design of rule-based expert systems; characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets; system identification and control; nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies MATHEMATICS / Infinity bisacsh MATHEMATICS / Logic bisacsh Expert systems (Computer science) fast Fuzzy logic fast Neural networks (Computer science) fast Fuzzy logic Expert systems (Computer science) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Expertensystem (DE-588)4113491-6 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf 1\p (DE-588)4143413-4 Aufsatzsammlung gnd-content Expertensystem (DE-588)4113491-6 s Neuronales Netz (DE-588)4226127-2 s 2\p DE-604 Fuzzy-Logik (DE-588)4341284-1 s 3\p DE-604 Erscheint auch als Druck-Ausgabe Leondes, Cornelius T. Fuzzy logic and expert systems applications San Diego : Academic Press, 1998 9780124438668 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 2\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk 3\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Leondes, Cornelius T. Fuzzy logic and expert systems applications This volume covers the integration of fuzzy logic and expert systems. A vital resource in the field, it includes techniques for applying fuzzy systems to neural networks for modeling and control, systematic design procedures for realizing fuzzy neural systems, techniques for the design of rule-based expert systems using the massively parallel processing capabilities of neural networks, the transformation of neural systems into rule-based expert systems, the characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets, and applications to system identification and control as well as nonparametric, nonlinear estimation. Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will appreciate this reference source to diverse application methodologies.; Key features include: Fuzzy system techniques applied to neural networks for modeling and control; systematic design procedures for realizing fuzzy neural systems; techniques for the design of rule-based expert systems; characteristics and relative merits of integrating fuzzy sets, neural networks, genetic algorithms, and rough sets; system identification and control; nonparametric, nonlinear estimation Practitioners, researchers, and students in industrial, manufacturing, electrical, and mechanical engineering, as well as computer scientists and engineers will find this volume a unique and comprehensive reference to these diverse application methodologies MATHEMATICS / Infinity bisacsh MATHEMATICS / Logic bisacsh Expert systems (Computer science) fast Fuzzy logic fast Neural networks (Computer science) fast Fuzzy logic Expert systems (Computer science) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| subject_GND | (DE-588)4226127-2 (DE-588)4113491-6 (DE-588)4341284-1 (DE-588)4143413-4 |
| title | Fuzzy logic and expert systems applications |
| title_auth | Fuzzy logic and expert systems applications |
| title_exact_search | Fuzzy logic and expert systems applications |
| title_full | Fuzzy logic and expert systems applications edited by Cornelius T. Leondes |
| title_fullStr | Fuzzy logic and expert systems applications edited by Cornelius T. Leondes |
| title_full_unstemmed | Fuzzy logic and expert systems applications edited by Cornelius T. Leondes |
| title_short | Fuzzy logic and expert systems applications |
| title_sort | fuzzy logic and expert systems applications |
| topic | MATHEMATICS / Infinity bisacsh MATHEMATICS / Logic bisacsh Expert systems (Computer science) fast Fuzzy logic fast Neural networks (Computer science) fast Fuzzy logic Expert systems (Computer science) Neural networks (Computer science) Neuronales Netz (DE-588)4226127-2 gnd Expertensystem (DE-588)4113491-6 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
| topic_facet | MATHEMATICS / Infinity MATHEMATICS / Logic Expert systems (Computer science) Fuzzy logic Neural networks (Computer science) Fuzzy logic Expert systems (Computer science) Neural networks (Computer science) Neuronales Netz Expertensystem Fuzzy-Logik Aufsatzsammlung |
| work_keys_str_mv | AT leondescorneliust fuzzylogicandexpertsystemsapplications |