Neural network ensemble modeling for nosiheptide fermentation process based on partial least squares regression

Chemometrics and Intelligent Laboratory Systems

Volumn 105, Issue 1, 2011, Pages 125-130

  Niu, Da peng ^a   Wang, Fu li ^a   Zhang, Ling ling ^b   He, Da kuo ^a   Jia, Ming xing ^a  

^a NORTHEASTERN UNIVERSITY   (China)

^b NEUSOFT CORPORATION   (China)

Author keywords

Bagging approach; Elman neural network; Neural network ensemble; Nosiheptide fermentation; Partial least squares regression

Indexed keywords

CARBON DIOXIDE; DISSOLVED OXYGEN; NOSIHEPTIDE;

AIRFLOW; ARTICLE; ARTIFICIAL NEURAL NETWORK; BAGGING TECHNIQUE; BATCH FERMENTATION; BATCH PROCESS; BIOMASS; BOOTSTRAPPING; BROTH DILUTION; COOLING; HIGH TEMPERATURE; MULTIPLE LINEAR REGRESSION ANALYSIS; PARTIAL LEAST SQUARES REGRESSION; PH; PRESSURE; PRIORITY JOURNAL; PROCESS OPTIMIZATION; STIRRING SPEED; STREPTOMYCES; STREPTOMYCES ACTUOSUS; STREPTOMYCES ANTIBIOTICUS; STREPTOMYCES GLAUCOGRISEUS;

EID: 78650945964     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2010.11.007     Document Type: Article

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