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Volumn , Issue , 1997, Pages 2786-2791

Neural network modelling and predictive control of yeast starter production in Champagne

Author keywords

Industry day; Neural nets; Predictive control; Process control

Indexed keywords

FERMENTATION; NEURAL NETWORKS; RECURRENT NEURAL NETWORKS; YEAST;

EID: 84949107417     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.23919/ecc.1997.7082531     Document Type: Conference Paper
Times cited : (3)

References (11)
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    • Teissier, P.1    Perret, B.2    Latrille, E.3    Barillere, J.M.4    Corrieu, G.5
  • 8
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    • Alcoholic fermentation in wine making: On-line measurement of density and carbon dioxyde evolution
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  • 9
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  • 11
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    • An hybrid recurrent neural network for yeast production monitoring. Part 1: Modelling and simulation of temperature, pH and inoculum rate effects
    • Teissier P., Perret B., Latrille E., Barillere J. M., Corrieu G., An hybrid recurrent neural network for yeast production monitoring. Part 1: Modelling and simulation of temperature, pH and inoculum rate effects. Submitted in J. Ferm. Bioeng.
    • J. Ferm. Bioeng.
    • Teissier, P.1    Perret, B.2    Latrille, E.3    Barillere, J.M.4    Corrieu, G.5


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.