Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

Francisco Serdio; Ciprian Zavoianu; Edwin Lughofer; Kurt Pichler; Thomas Buchegger; Hajrudin Efendic

doi:10.1109/NaBIC.2014.6921859

Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

Francisco Serdio
, Ciprian Zavoianu
, Edwin Lughofer
, Kurt Pichler
, Thomas Buchegger
, Hajrudin Efendic

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

Originalsprache	Englisch
Titel	Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)
Erscheinungsort	Porto, Portugal
Seiten	91-96
Seitenumfang	6
ISBN (elektronisch)	9781479959372
DOIs	https://doi.org/10.1109/NaBIC.2014.6921859
Publikationsstatus	Veröffentlicht - 12 Okt. 2014

Publikationsreihe

Name	2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

Wissenschaftszweige

101 Mathematik
101013 Mathematische Logik
101024 Wahrscheinlichkeitstheorie
102001 Artificial Intelligence
102003 Bildverarbeitung
102019 Machine Learning
603109 Logik
202027 Mechatronik

JKU-Schwerpunkte

Computation in Informatics and Mathematics
Mechatronics and Information Processing
Nano-, Bio- and Polymer-Systems: From Structure to Function

Zugriff auf Dokument

10.1109/NaBIC.2014.6921859

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

Dieses zitieren

Serdio, F., Zavoianu, C., Lughofer, E., Pichler, K., Buchegger, T., & Efendic, H. (2014). Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. in Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC) (S. 91-96). Artikel 6921859 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).. https://doi.org/10.1109/NaBIC.2014.6921859

Serdio, Francisco ; Zavoianu, Ciprian ; Lughofer, Edwin et al. / Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal, 2014. S. 91-96 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

@inproceedings{d996db1a731b4bc89d3a1b165ba10140,

title = "Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection",

author = "Francisco Serdio and Ciprian Zavoianu and Edwin Lughofer and Kurt Pichler and Thomas Buchegger and Hajrudin Efendic",

year = "2014",

month = oct,

day = "12",

doi = "10.1109/NaBIC.2014.6921859",

language = "English",

series = "2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014",

pages = "91--96",

booktitle = "Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)",

}

Serdio, F, Zavoianu, C, Lughofer, E, Pichler, K, Buchegger, T & Efendic, H 2014, Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. in Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)., 6921859, 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014, Porto, Portugal, S. 91-96. https://doi.org/10.1109/NaBIC.2014.6921859

Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. / Serdio, Francisco; Zavoianu, Ciprian; Lughofer, Edwin et al.
Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal, 2014. S. 91-96 6921859 (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014).

Publikation: Beitrag in Buch/Bericht/Konferenzband › Konferenzbeitrag › Begutachtung

TY - GEN

T1 - Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection

AU - Serdio, Francisco

AU - Zavoianu, Ciprian

AU - Lughofer, Edwin

AU - Pichler, Kurt

AU - Buchegger, Thomas

AU - Efendic, Hajrudin

PY - 2014/10/12

Y1 - 2014/10/12

UR - https://www.scopus.com/pages/publications/84911928089

U2 - 10.1109/NaBIC.2014.6921859

DO - 10.1109/NaBIC.2014.6921859

M3 - Conference proceedings

T3 - 2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014

SP - 91

EP - 96

BT - Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)

CY - Porto, Portugal

ER -

Serdio F, Zavoianu C, Lughofer E, Pichler K, Buchegger T, Efendic H. Hybrid Genetic-Fuzzy Systems for Improved Performance in Residual-Based Fault Detection. in Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC). Porto, Portugal. 2014. S. 91-96. 6921859. (2014 6th World Congress on Nature and Biologically Inspired Computing, NaBIC 2014). doi: 10.1109/NaBIC.2014.6921859