Interpretability of Computational Intelligence-Based Regression Models:
Gespeichert in:
Hauptverfasser: | , |
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Format: | Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Cham
Springer
2015
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Schriftenreihe: | SpringerBriefs in Computer Science
|
Schlagworte: | |
Online-Zugang: | BTU01 FHA01 FHI01 FHM01 FHN01 FKE01 FLA01 FRO01 UBG01 UBM01 UBR01 UBT01 UBW01 UER01 UPA01 Volltext Inhaltsverzeichnis Abstract |
Beschreibung: | 1 Online Ressource (X, 82 Seiten) 48 Illustrationen |
ISBN: | 9783319219424 |
ISSN: | 2191-5768 |
DOI: | 10.1007/978-3-319-21942-4 |
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Datensatz im Suchindex
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adam_text | INTERPRETABILITY OF COMPUTATIONAL INTELLIGENCE-BASED REGRESSION MODELS
/ KENESEI, TAMAS
: 2015
TABLE OF CONTENTS / INHALTSVERZEICHNIS
INTRODUCTION
INTERPRETABILITY OF HINGING HYPERPLANES
INTERPRETABILITY OF NEURAL NETWORKS
INTERPRETABILITY OF SUPPORT VECTOR MACHINES
SUMMARY
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
INTERPRETABILITY OF COMPUTATIONAL INTELLIGENCE-BASED REGRESSION MODELS
/ KENESEI, TAMAS
: 2015
ABSTRACT / INHALTSTEXT
THE KEY IDEA OF THIS BOOK IS THAT HINGING HYPERPLANES, NEURAL NETWORKS
AND SUPPORT VECTOR MACHINES CAN BE TRANSFORMED INTO FUZZY MODELS, AND
INTERPRETABILITY OF THE RESULTING RULE-BASED SYSTEMS CAN BE ENSURED BY
SPECIAL MODEL REDUCTION AND VISUALIZATION TECHNIQUES. THE FIRST PART OF
THE BOOK DEALS WITH THE IDENTIFICATION OF HINGING HYPERPLANE-BASED
REGRESSION TREES. THE NEXT PART DEALS WITH THE VALIDATION, VISUALIZATION
AND STRUCTURAL REDUCTION OF NEURAL NETWORKS BASED ON THE TRANSFORMATION
OF THE HIDDEN LAYER OF THE NETWORK INTO AN ADDITIVE FUZZY RULE BASE
SYSTEM. FINALLY, BASED ON THE ANALOGY OF SUPPORT VECTOR REGRESSION AND
FUZZY MODELS, A THREE-STEP MODEL REDUCTION ALGORITHM IS PROPOSED TO GET
INTERPRETABLE FUZZY REGRESSION MODELS ON THE BASIS OF SUPPORT VECTOR
REGRESSION. THE AUTHORS DEMONSTRATE REAL-WORLD USE OF THE ALGORITHMS
WITH EXAMPLES TAKEN FROM PROCESS ENGINEERING, AND THEY SUPPORT THE TEXT
WITH DOWNLOADABLE MATLAB CODE. THE BOOK IS SUITABLE FOR RESEARCHERS,
GRADUATE STUDENTS AND PRACTITIONERS IN THE AREAS OF COMPUTATIONAL
INTELLIGENCE AND MACHINE LEARNING
DIESES SCHRIFTSTUECK WURDE MASCHINELL ERZEUGT.
|
any_adam_object | 1 |
author | Kenesei, Tamás Abonyi, János 1974- |
author_GND | (DE-588)133119246 |
author_facet | Kenesei, Tamás Abonyi, János 1974- |
author_role | aut aut |
author_sort | Kenesei, Tamás |
author_variant | t k tk j a ja |
building | Verbundindex |
bvnumber | BV043209129 |
classification_rvk | ST 301 |
collection | ZDB-2-SCS |
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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 | 10.1007/978-3-319-21942-4 |
format | Electronic eBook |
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id | DE-604.BV043209129 |
illustrated | Not Illustrated |
indexdate | 2024-07-10T07:20:34Z |
institution | BVB |
isbn | 9783319219424 |
issn | 2191-5768 |
language | English |
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owner_facet | DE-355 DE-BY-UBR DE-19 DE-BY-UBM DE-Aug4 DE-M347 DE-573 DE-859 DE-703 DE-473 DE-BY-UBG DE-29 DE-20 DE-92 DE-634 DE-860 DE-861 DE-739 |
physical | 1 Online Ressource (X, 82 Seiten) 48 Illustrationen |
psigel | ZDB-2-SCS ZDB-2-SCS_2015 |
publishDate | 2015 |
publishDateSearch | 2015 |
publishDateSort | 2015 |
publisher | Springer |
record_format | marc |
series2 | SpringerBriefs in Computer Science |
spelling | Kenesei, Tamás Verfasser aut Interpretability of Computational Intelligence-Based Regression Models by Tamás Kenesei, János Abonyi Cham Springer 2015 1 Online Ressource (X, 82 Seiten) 48 Illustrationen txt rdacontent c rdamedia cr rdacarrier SpringerBriefs in Computer Science 2191-5768 Computer science Data mining Artificial intelligence Computational intelligence Computer Science Artificial Intelligence (incl. Robotics) Computational Intelligence Data Mining and Knowledge Discovery Informatik Künstliche Intelligenz Informatik (DE-588)4026894-9 gnd rswk-swf Support-Vektor-Maschine (DE-588)4505517-8 gnd rswk-swf Wissensextraktion (DE-588)4546354-2 gnd rswk-swf Data Mining (DE-588)4428654-5 gnd rswk-swf Neuronales Netz (DE-588)4226127-2 gnd rswk-swf Informatik (DE-588)4026894-9 s Data Mining (DE-588)4428654-5 s Wissensextraktion (DE-588)4546354-2 s Neuronales Netz (DE-588)4226127-2 s Support-Vektor-Maschine (DE-588)4505517-8 s DE-604 Abonyi, János 1974- Verfasser (DE-588)133119246 aut Erscheint auch als Druckausgabe 978-3-319-21941-7 https://doi.org/10.1007/978-3-319-21942-4 Verlag URL des Erstveröffentlichers Volltext Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632290&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis Springer Fremddatenuebernahme application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632290&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA Abstract |
spellingShingle | Kenesei, Tamás Abonyi, János 1974- Interpretability of Computational Intelligence-Based Regression Models Computer science Data mining Artificial intelligence Computational intelligence Computer Science Artificial Intelligence (incl. Robotics) Computational Intelligence Data Mining and Knowledge Discovery Informatik Künstliche Intelligenz Informatik (DE-588)4026894-9 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Neuronales Netz (DE-588)4226127-2 gnd |
subject_GND | (DE-588)4026894-9 (DE-588)4505517-8 (DE-588)4546354-2 (DE-588)4428654-5 (DE-588)4226127-2 |
title | Interpretability of Computational Intelligence-Based Regression Models |
title_auth | Interpretability of Computational Intelligence-Based Regression Models |
title_exact_search | Interpretability of Computational Intelligence-Based Regression Models |
title_full | Interpretability of Computational Intelligence-Based Regression Models by Tamás Kenesei, János Abonyi |
title_fullStr | Interpretability of Computational Intelligence-Based Regression Models by Tamás Kenesei, János Abonyi |
title_full_unstemmed | Interpretability of Computational Intelligence-Based Regression Models by Tamás Kenesei, János Abonyi |
title_short | Interpretability of Computational Intelligence-Based Regression Models |
title_sort | interpretability of computational intelligence based regression models |
topic | Computer science Data mining Artificial intelligence Computational intelligence Computer Science Artificial Intelligence (incl. Robotics) Computational Intelligence Data Mining and Knowledge Discovery Informatik Künstliche Intelligenz Informatik (DE-588)4026894-9 gnd Support-Vektor-Maschine (DE-588)4505517-8 gnd Wissensextraktion (DE-588)4546354-2 gnd Data Mining (DE-588)4428654-5 gnd Neuronales Netz (DE-588)4226127-2 gnd |
topic_facet | Computer science Data mining Artificial intelligence Computational intelligence Computer Science Artificial Intelligence (incl. Robotics) Computational Intelligence Data Mining and Knowledge Discovery Informatik Künstliche Intelligenz Support-Vektor-Maschine Wissensextraktion Data Mining Neuronales Netz |
url | https://doi.org/10.1007/978-3-319-21942-4 http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632290&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=028632290&sequence=000003&line_number=0002&func_code=DB_RECORDS&service_type=MEDIA |
work_keys_str_mv | AT keneseitamas interpretabilityofcomputationalintelligencebasedregressionmodels AT abonyijanos interpretabilityofcomputationalintelligencebasedregressionmodels |