Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation

N. Nikhil; P.E.P. Koskinen; A. Visa; A.H. Kaksonen; J.A. Puhakka; O. Yli-Harja

doi:10.1007/s00449-008-0213-9

Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation

Julkaisun otsikon käännös: Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation

N. Nikhil, P.E.P. Koskinen, A. Visa, A.H. Kaksonen, J.A. Puhakka, O. Yli-Harja

Tutkimustuotos: Artikkeli › Tieteellinen › vertaisarvioitu

3 Sitaatiot (Scopus)

Julkaisun otsikon käännös	Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation
Alkuperäiskieli	Englanti
Sivut	631-640
Julkaisu	Bioprocess and Biosystems Engineering
Vuosikerta	31
Numero	6
DOI - pysyväislinkit	https://doi.org/10.1007/s00449-008-0213-9
Tila	Julkaistu - 2008
OKM-julkaisutyyppi	A1 Alkuperäisartikkeli tieteellisessä aikakauslehdessä

Julkaisufoorumi-taso

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Pääsy asiakirjaan

10.1007/s00449-008-0213-9

Siteeraa tätä

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author = "N. Nikhil and P.E.P. Koskinen and A. Visa and A.H. Kaksonen and J.A. Puhakka and O. Yli-Harja",

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AU - Nikhil, N.

AU - Koskinen, P.E.P.

AU - Visa, A.

AU - Kaksonen, A.H.

AU - Puhakka, J.A.

AU - Yli-Harja, O.

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U2 - 10.1007/s00449-008-0213-9

DO - 10.1007/s00449-008-0213-9

M3 - Article

SN - 1615-7591

VL - 31

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EP - 640

JO - Bioprocess and Biosystems Engineering

JF - Bioprocess and Biosystems Engineering

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