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

Research output: Contribution to journal › Article › Scientific › peer-review

3 Citations (Scopus)

Translated title of the contribution	Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation
Original language	English
Pages (from-to)	631-640
Journal	Bioprocess and Biosystems Engineering
Volume	31
Issue number	6
DOIs	https://doi.org/10.1007/s00449-008-0213-9
Publication status	Published - 2008
Publication type	A1 Journal article-refereed

Publication forum classification

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

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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year = "2008",

doi = "10.1007/s00449-008-0213-9",

language = "English",

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journal = "Bioprocess and Biosystems Engineering",

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T1 - Clustering hybrid regression: a novel computational approach to study and model biohydrogen production through dark fermentation

AU - Nikhil, N.

AU - Koskinen, P.E.P.

AU - Visa, A.

AU - Kaksonen, A.H.

AU - Puhakka, J.A.

AU - Yli-Harja, O.

N1 - Contribution: organisation=sgn,FACT1=0.5<br/>Contribution: organisation=keb bio,FACT2=0.5

PY - 2008

Y1 - 2008

U2 - 10.1007/s00449-008-0213-9

DO - 10.1007/s00449-008-0213-9

M3 - Article

SN - 1615-7591

VL - 31

SP - 631

EP - 640

JO - Bioprocess and Biosystems Engineering

JF - Bioprocess and Biosystems Engineering

IS - 6

ER -