Fuzzy and Neural: Interactions and Applications:
This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only m...
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Heidelberg
Physica-Verlag HD
1998
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Schriftenreihe: | Studies in Fuzziness and Soft Computing
25 |
Schlagworte: | |
Online-Zugang: | BTU01 Volltext |
Zusammenfassung: | This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years. The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research |
Beschreibung: | 1 Online-Ressource (XIV, 162 p) |
ISBN: | 9783790818819 |
DOI: | 10.1007/978-3-7908-1881-9 |
Internformat
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490 | 0 | |a Studies in Fuzziness and Soft Computing |v 25 | |
520 | |a This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years. The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research | ||
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Datensatz im Suchindex
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any_adam_object | |
author | Buckley, James J. Feuring, Thomas 1964- |
author_GND | (DE-588)120637901 |
author_facet | Buckley, James J. Feuring, Thomas 1964- |
author_role | aut aut |
author_sort | Buckley, James J. |
author_variant | j j b jj jjb t f tf |
building | Verbundindex |
bvnumber | BV045187217 |
collection | ZDB-2-ENG |
ctrlnum | (ZDB-2-ENG)978-3-7908-1881-9 (OCoLC)1053844921 (DE-599)BVBBV045187217 |
dewey-full | 006.3 |
dewey-hundreds | 000 - Computer science, information, general works |
dewey-ones | 006 - Special computer methods |
dewey-raw | 006.3 |
dewey-search | 006.3 |
dewey-sort | 16.3 |
dewey-tens | 000 - Computer science, information, general works |
discipline | Informatik |
doi_str_mv | 10.1007/978-3-7908-1881-9 |
format | Electronic eBook |
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id | DE-604.BV045187217 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T08:10:59Z |
institution | BVB |
isbn | 9783790818819 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-030576395 |
oclc_num | 1053844921 |
open_access_boolean | |
owner | DE-634 |
owner_facet | DE-634 |
physical | 1 Online-Ressource (XIV, 162 p) |
psigel | ZDB-2-ENG ZDB-2-ENG_Archiv ZDB-2-ENG ZDB-2-ENG_Archiv |
publishDate | 1998 |
publishDateSearch | 1998 |
publishDateSort | 1998 |
publisher | Physica-Verlag HD |
record_format | marc |
series2 | Studies in Fuzziness and Soft Computing |
spelling | Buckley, James J. Verfasser aut Fuzzy and Neural: Interactions and Applications by James J. Buckley, Thomas Feuring Heidelberg Physica-Verlag HD 1998 1 Online-Ressource (XIV, 162 p) txt rdacontent c rdamedia cr rdacarrier Studies in Fuzziness and Soft Computing 25 This book is about recent research area described as the intersection of fuzzy sets, (layered, feedforward) neural nets and evolutionary algorithms. Also called "soft computing". The treatment is elementary in that all "proofs" have been relegated to the references and the only mathematical prerequisite is elementary differential calculus. No previous knowledge of neural nets nor fuzzy sets is needed. Most of the discussion centers around the authors' own research in this area over the last ten years. The book brings together results on: (1) approximations between neural nets and fuzzy systems; (2) building hybrid neural nets for fuzzy systems; (3) approximations between fuzzy neural nets for fuzzy systems. New results include the use of evolutionary algorithms to train fuzzy neural nets and the introduction of a "fuzzy teaching machine". The interaction between fuzzy and neural is also illustrated in the use of neural nets to solve fuzzy problems and the use of fuzzy neural nets to solve the "overfitting" problem of regular neural nets. Besides giving a comprehensive theoretical survey of these results the authors also survey the unsolved problems in this exciting, new, area of research Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics IT in Business Computer science Information technology Business / Data processing Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Fuzzy-Logik (DE-588)4341284-1 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 s Fuzzy-Logik (DE-588)4341284-1 s 1\p DE-604 Feuring, Thomas 1964- (DE-588)120637901 aut Erscheint auch als Druck-Ausgabe 9783662118078 https://doi.org/10.1007/978-3-7908-1881-9 Verlag URL des Erstveröffentlichers Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
spellingShingle | Buckley, James J. Feuring, Thomas 1964- Fuzzy and Neural: Interactions and Applications Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics IT in Business Computer science Information technology Business / Data processing Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Neuronales Netz (DE-588)4226127-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
subject_GND | (DE-588)4226127-2 (DE-588)4341284-1 |
title | Fuzzy and Neural: Interactions and Applications |
title_auth | Fuzzy and Neural: Interactions and Applications |
title_exact_search | Fuzzy and Neural: Interactions and Applications |
title_full | Fuzzy and Neural: Interactions and Applications by James J. Buckley, Thomas Feuring |
title_fullStr | Fuzzy and Neural: Interactions and Applications by James J. Buckley, Thomas Feuring |
title_full_unstemmed | Fuzzy and Neural: Interactions and Applications by James J. Buckley, Thomas Feuring |
title_short | Fuzzy and Neural: Interactions and Applications |
title_sort | fuzzy and neural interactions and applications |
topic | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics IT in Business Computer science Information technology Business / Data processing Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Neuronales Netz (DE-588)4226127-2 gnd Fuzzy-Logik (DE-588)4341284-1 gnd |
topic_facet | Computer Science Artificial Intelligence (incl. Robotics) Mathematical Logic and Foundations Control, Robotics, Mechatronics IT in Business Computer science Information technology Business / Data processing Artificial intelligence Mathematical logic Control engineering Robotics Mechatronics Neuronales Netz Fuzzy-Logik |
url | https://doi.org/10.1007/978-3-7908-1881-9 |
work_keys_str_mv | AT buckleyjamesj fuzzyandneuralinteractionsandapplications AT feuringthomas fuzzyandneuralinteractionsandapplications |