A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement (Englisch)
- Neue Suche nach: Shariati, Mahdi
- Neue Suche nach: Mafipour, Mohammad Saeed
- Neue Suche nach: Ghahremani, Behzad
- Neue Suche nach: Azarhomayun, Fazel
- Neue Suche nach: Ahmadi, Masoud
- Neue Suche nach: Trung, Nguyen Thoi
- Neue Suche nach: Shariati, Ali
- Neue Suche nach: Shariati, Mahdi
- Neue Suche nach: Mafipour, Mohammad Saeed
- Neue Suche nach: Ghahremani, Behzad
- Neue Suche nach: Azarhomayun, Fazel
- Neue Suche nach: Ahmadi, Masoud
- Neue Suche nach: Trung, Nguyen Thoi
- Neue Suche nach: Shariati, Ali
In:
Engineering with Computers
: An International Journal for Simulation-Based Engineering
;
38
, 1
;
757-779
;
2022
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:A novel hybrid extreme learning machine–grey wolf optimizer (ELM-GWO) model to predict compressive strength of concrete with partial replacements for cement
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Weitere Titelangaben:Engineering with Computers
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Beteiligte:Shariati, Mahdi ( Autor:in ) / Mafipour, Mohammad Saeed ( Autor:in ) / Ghahremani, Behzad ( Autor:in ) / Azarhomayun, Fazel ( Autor:in ) / Ahmadi, Masoud ( Autor:in ) / Trung, Nguyen Thoi ( Autor:in ) / Shariati, Ali ( Autor:in )
-
Erschienen in:Engineering with Computers : An International Journal for Simulation-Based Engineering ; 38, 1 ; 757-779
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Verlag:
- Neue Suche nach: Springer London
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Erscheinungsort:London
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Erscheinungsdatum:01.02.2022
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Format / Umfang:23 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 38, Ausgabe 1
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