Global and local neural network models in biotechnology: Application to different cultivation processes

Journal of Fermentation and Bioengineering

Volumn 83, Issue 1, 1997, Pages 1-11

  Karim, M Nazmul ^a   Yoshida, Toshiomi ^b   Rivera, Sheyla L ^c   Saucedo, Victor M ^a   Eikens, Bernhard ^a   Gyu Seop, O H ^b  

^a Engineering Research Center and Hydraulics Laboratory   (United States)

^b OSAKA UNIVERSITY   (Japan)

^c Stevens Institute of Technology   (United States)

Author keywords

feed forward neural network; hybridoma cells; neural network estimator; radial basis function; recombinant Escherichia coli; Zymomonas mobilis

Indexed keywords

AGRICULTURAL WASTES; ALCOHOL FUELS; BIOMASS; CELLS; COLIFORM BACTERIA; FEEDFORWARD NEURAL NETWORKS; MATHEMATICAL MODELS; MONOCLONAL ANTIBODIES;

CASCADE CORRELATION (CC) NETWORKS; MULTILAYER PERCEPTION (MLP) NETWORKS; RADIAL BASIS FUNCTION (RBF) NETWORKS; RECURRENT NEURAL NETWORKS;

FERMENTATION;

ALCOHOL; IMMUNOGLOBULIN G; MONOCLONAL ANTIBODY;

ALGORITHM; ANIMAL CELL; ANTIBODY PRODUCTION; ARTICLE; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; BIOMASS; BIOREACTOR; BIOTECHNOLOGY; ESCHERICHIA COLI; FERMENTATION; HYBRIDOMA; MICROBIOLOGY; MOUSE; NONHUMAN; ZYMOMONAS MOBILIS;

ANIMALIA; ESCHERICHIA COLI; ZYMOMONAS MOBILIS;

EID: 0031055914     PISSN: 0922338X     EISSN: None     Source Type: Journal    
DOI: 10.1016/S0922-338X(97)87318-7     Document Type: Review

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