Adaptive Modelling, Estimation and Fusion from Data: A Neurofuzzy Approach
In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce fut...
Gespeichert in:
| Hauptverfasser: | , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2002
|
| Ausgabe: | 1st ed. 2002 |
| Schriftenreihe: | Advanced Information Processing
|
| Schlagworte: | |
| Online-Zugang: | UBY01 URL des Eerstveröffentlichers |
| Zusammenfassung: | In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion |
| Beschreibung: | 1 Online-Ressource (XVI, 323 p) |
| ISBN: | 9783642182426 |
| DOI: | 10.1007/978-3-642-18242-6 |
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| discipline | Informatik Mathematik |
| discipline_str_mv | Informatik Mathematik |
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| edition | 1st ed. 2002 |
| format | Electronic eBook |
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| id | DE-604.BV047064378 |
| illustrated | Not Illustrated |
| index_date | 2024-07-03T16:12:22Z |
| indexdate | 2024-07-10T09:01:34Z |
| institution | BVB |
| isbn | 9783642182426 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-032471490 |
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| physical | 1 Online-Ressource (XVI, 323 p) |
| psigel | ZDB-2-SCS ZDB-2-SCS_2000/2004 ZDB-2-SCS ZDB-2-SCS_2000/2004 |
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| publisher | Springer Berlin Heidelberg |
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| series2 | Advanced Information Processing |
| spelling | Harris, Chris Verfasser aut Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach by Chris Harris, Xia Hong, Qiang Gan 1st ed. 2002 Berlin, Heidelberg Springer Berlin Heidelberg 2002 1 Online-Ressource (XVI, 323 p) txt rdacontent c rdamedia cr rdacarrier Advanced Information Processing In a world of almost permanent and rapidly increasing electronic data availability, techniques of filtering, compressing, and interpreting this data to transform it into valuable and easily comprehensible information is of utmost importance. One key topic in this area is the capability to deduce future system behavior from a given data input. This book brings together for the first time the complete theory of data-based neurofuzzy modelling and the linguistic attributes of fuzzy logic in a single cohesive mathematical framework. After introducing the basic theory of data-based modelling, new concepts including extended additive and multiplicative submodels are developed and their extensions to state estimation and data fusion are derived. All these algorithms are illustrated with benchmark and real-life examples to demonstrate their efficiency. Chris Harris and his group have carried out pioneering work which has tied together the fields of neural networks and linguistic rule-based algortihms. This book is aimed at researchers and scientists in time series modeling, empirical data modeling, knowledge discovery, data mining, and data fusion Artificial Intelligence Pattern Recognition Theory of Computation Mathematics of Computing Information Storage and Retrieval Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Computers Computer science—Mathematics Information storage and retrieval Statistics Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Datenfusion (DE-588)4582612-2 gnd rswk-swf Adaptive Schätzung (DE-588)4342646-3 gnd rswk-swf Neuro-Fuzzy-System (DE-588)4560677-8 gnd rswk-swf Nichtlineares dynamisches System (DE-588)4126142-2 gnd rswk-swf Datenfusion (DE-588)4582612-2 s Adaptive Schätzung (DE-588)4342646-3 s DE-604 Nichtlineares dynamisches System (DE-588)4126142-2 s Maschinelles Lernen (DE-588)4193754-5 s Neuro-Fuzzy-System (DE-588)4560677-8 s Hong, Xia aut Gan, Qiang aut Erscheint auch als Druck-Ausgabe 9783642621192 Erscheint auch als Druck-Ausgabe 9783540426868 Erscheint auch als Druck-Ausgabe 9783642182433 https://doi.org/10.1007/978-3-642-18242-6 Verlag URL des Eerstveröffentlichers Volltext |
| spellingShingle | Harris, Chris Hong, Xia Gan, Qiang Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach Artificial Intelligence Pattern Recognition Theory of Computation Mathematics of Computing Information Storage and Retrieval Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Computers Computer science—Mathematics Information storage and retrieval Statistics Maschinelles Lernen (DE-588)4193754-5 gnd Datenfusion (DE-588)4582612-2 gnd Adaptive Schätzung (DE-588)4342646-3 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd |
| subject_GND | (DE-588)4193754-5 (DE-588)4582612-2 (DE-588)4342646-3 (DE-588)4560677-8 (DE-588)4126142-2 |
| title | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach |
| title_auth | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach |
| title_exact_search | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach |
| title_exact_search_txtP | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach |
| title_full | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach by Chris Harris, Xia Hong, Qiang Gan |
| title_fullStr | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach by Chris Harris, Xia Hong, Qiang Gan |
| title_full_unstemmed | Adaptive Modelling, Estimation and Fusion from Data A Neurofuzzy Approach by Chris Harris, Xia Hong, Qiang Gan |
| title_short | Adaptive Modelling, Estimation and Fusion from Data |
| title_sort | adaptive modelling estimation and fusion from data a neurofuzzy approach |
| title_sub | A Neurofuzzy Approach |
| topic | Artificial Intelligence Pattern Recognition Theory of Computation Mathematics of Computing Information Storage and Retrieval Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Computers Computer science—Mathematics Information storage and retrieval Statistics Maschinelles Lernen (DE-588)4193754-5 gnd Datenfusion (DE-588)4582612-2 gnd Adaptive Schätzung (DE-588)4342646-3 gnd Neuro-Fuzzy-System (DE-588)4560677-8 gnd Nichtlineares dynamisches System (DE-588)4126142-2 gnd |
| topic_facet | Artificial Intelligence Pattern Recognition Theory of Computation Mathematics of Computing Information Storage and Retrieval Statistics for Engineering, Physics, Computer Science, Chemistry and Earth Sciences Artificial intelligence Pattern recognition Computers Computer science—Mathematics Information storage and retrieval Statistics Maschinelles Lernen Datenfusion Adaptive Schätzung Neuro-Fuzzy-System Nichtlineares dynamisches System |
| url | https://doi.org/10.1007/978-3-642-18242-6 |
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