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

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

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

Original language	English
Title of host publication	Proceedings of the 2014 Sixth World Congress on Nature and Biologically Inspired Computing (NaBIC)
Place of Publication	Porto, Portugal
Pages	91-96
Number of pages	6
ISBN (Electronic)	9781479959372
DOIs	https://doi.org/10.1109/NaBIC.2014.6921859
Publication status	Published - 2014

Fields of science

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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",

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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. p. 91-96 6921859.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceedings › peer-review

TY - GEN

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

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AU - Zavoianu, Ciprian

AU - Lughofer, Edwin

AU - Pichler, Kurt

AU - Buchegger, Thomas

AU - Efendic, Hajrudin

PY - 2014

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DO - 10.1109/NaBIC.2014.6921859

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EP - 96

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

CY - Porto, Portugal

ER -