Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering:
Gespeichert in:
1. Verfasser: | |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Dordrecht
Springer Netherlands
2001
|
Schriftenreihe: | International Series in Intelligent Technologies
17 |
Schlagworte: | |
Online-Zugang: | Volltext |
Beschreibung: | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification |
Beschreibung: | 1 Online-Ressource (XXII, 288 p) |
ISBN: | 9789401713122 9789048157754 |
ISSN: | 1382-3434 |
DOI: | 10.1007/978-94-017-1312-2 |
Internformat
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300 | |a 1 Online-Ressource (XXII, 288 p) | ||
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490 | 0 | |a International Series in Intelligent Technologies |v 17 |x 1382-3434 | |
500 | |a Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification | ||
650 | 4 | |a Mathematics | |
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Datensatz im Suchindex
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any_adam_object | |
author | Angstenberger, Larisa |
author_facet | Angstenberger, Larisa |
author_role | aut |
author_sort | Angstenberger, Larisa |
author_variant | l a la |
building | Verbundindex |
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dewey-raw | 511.3 |
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dewey-sort | 3511.3 |
dewey-tens | 510 - Mathematics |
discipline | Mathematik |
doi_str_mv | 10.1007/978-94-017-1312-2 |
format | Electronic eBook |
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id | DE-604.BV042424245 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T01:21:15Z |
institution | BVB |
isbn | 9789401713122 9789048157754 |
issn | 1382-3434 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-027859662 |
oclc_num | 863892719 |
open_access_boolean | |
owner | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
owner_facet | DE-384 DE-703 DE-91 DE-BY-TUM DE-634 |
physical | 1 Online-Ressource (XXII, 288 p) |
psigel | ZDB-2-SMA ZDB-2-BAE ZDB-2-SMA_Archive |
publishDate | 2001 |
publishDateSearch | 2001 |
publishDateSort | 2001 |
publisher | Springer Netherlands |
record_format | marc |
series2 | International Series in Intelligent Technologies |
spelling | Angstenberger, Larisa Verfasser aut Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by Larisa Angstenberger Dordrecht Springer Netherlands 2001 1 Online-Ressource (XXII, 288 p) txt rdacontent c rdamedia cr rdacarrier International Series in Intelligent Technologies 17 1382-3434 Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering focuses on fuzzy clustering methods which have proven to be very powerful in pattern recognition and considers the entire process of dynamic pattern recognition. This book sets a general framework for Dynamic Pattern Recognition, describing in detail the monitoring process using fuzzy tools and the adaptation process in which the classifiers have to be adapted, using the observations of the dynamic process. It then focuses on the problem of a changing cluster structure (new clusters, merging of clusters, splitting of clusters and the detection of gradual changes in the cluster structure). Finally, the book integrates these parts into a complete algorithm for dynamic fuzzy classifier design and classification Mathematics Artificial intelligence Computer vision Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Künstliche Intelligenz Mathematik https://doi.org/10.1007/978-94-017-1312-2 Verlag Volltext |
spellingShingle | Angstenberger, Larisa Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering Mathematics Artificial intelligence Computer vision Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Künstliche Intelligenz Mathematik |
title | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering |
title_auth | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering |
title_exact_search | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering |
title_full | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by Larisa Angstenberger |
title_fullStr | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by Larisa Angstenberger |
title_full_unstemmed | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering by Larisa Angstenberger |
title_short | Dynamic Fuzzy Pattern Recognition with Applications to Finance and Engineering |
title_sort | dynamic fuzzy pattern recognition with applications to finance and engineering |
topic | Mathematics Artificial intelligence Computer vision Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Künstliche Intelligenz Mathematik |
topic_facet | Mathematics Artificial intelligence Computer vision Logic, Symbolic and mathematical Mathematical Logic and Foundations Artificial Intelligence (incl. Robotics) Image Processing and Computer Vision Künstliche Intelligenz Mathematik |
url | https://doi.org/10.1007/978-94-017-1312-2 |
work_keys_str_mv | AT angstenbergerlarisa dynamicfuzzypatternrecognitionwithapplicationstofinanceandengineering |