Optimal neuro-fuzzy control of hepatitis C virus integrated by genetic algorithm (Englisch)
Freier Zugriff
- Neue Suche nach: Khodaei-Mehr, Javad
- Neue Suche nach: Tangestanizadeh, Samaneh
- Neue Suche nach: Vatankhah, Ramin
- Neue Suche nach: Sharifi, Mojtaba
- Neue Suche nach: Khodaei-Mehr, Javad
- Neue Suche nach: Tangestanizadeh, Samaneh
- Neue Suche nach: Vatankhah, Ramin
- Neue Suche nach: Sharifi, Mojtaba
In:
IET Systems Biology
;
12
, 4
;
154-161
;
2018
- Aufsatz (Zeitschrift) / Elektronische Ressource
-
Titel:Optimal neuro-fuzzy control of hepatitis C virus integrated by genetic algorithm
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Beteiligte:Khodaei-Mehr, Javad ( Autor:in ) / Tangestanizadeh, Samaneh ( Autor:in ) / Vatankhah, Ramin ( Autor:in ) / Sharifi, Mojtaba ( Autor:in )
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Erschienen in:IET Systems Biology ; 12, 4 ; 154-161
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Verlag:
- Neue Suche nach: The Institution of Engineering and Technology
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Erscheinungsdatum:23.03.2018
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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:epidemiology , ordinary optimal control methods , acute-infected individuals , liver disease , neurocontrollers , adaptive neuro-fuzzy inference system , hepatitis C virus infection , objective function minimisation , medical control systems , HCV epidemic , Takagi-Sugeno fuzzy structure , genetic algorithms , ANFIS , adaptive control , diseases , control signal , genetic algorithm , state condition , optimal adaptive neuro-fuzzy controller , blood , intelligent controller , fuzzy control , hepatitis C blood born virus , microorganisms , epidemics , medical computing
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Datenquelle:
Metadata by IET is licensed under CC BY 3.0
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