Predicting the relative density and hardness of 3YPSZ/316L composites using adaptive neuro-fuzzy inference system and support vector regression models (Englisch)
- Neue Suche nach: Jajarmi, E.
- Neue Suche nach: Sajjadi, S.A.
- Neue Suche nach: Mohebbi, J.
- Weitere Informationen zu Mohebbi, J.:
- https://orcid.org/0000-0002-6614-538X
- Neue Suche nach: Jajarmi, E.
- Neue Suche nach: Sajjadi, S.A.
- Neue Suche nach: Mohebbi, J.
In:
Measurement: Journal of the International Measurement Confederation
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145
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472-479
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2019
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ISSN:
- Aufsatz (Zeitschrift) / Elektronische Ressource
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Titel:Predicting the relative density and hardness of 3YPSZ/316L composites using adaptive neuro-fuzzy inference system and support vector regression models
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Beteiligte:
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Erschienen in:
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Verlag:
- Neue Suche nach: Elsevier Ltd
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Erscheinungsdatum:31.05.2019
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Format / Umfang:8 pages
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ISSN:
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DOI:
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Medientyp:Aufsatz (Zeitschrift)
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Format:Elektronische Ressource
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Sprache:Englisch
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Schlagwörter:
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Datenquelle:
Inhaltsverzeichnis – Band 145
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Editorial Board| 2019