A neural network approach for the prediction of in vitro culture parameters for maximum biomass yields in hairy root cultures

Journal of Theoretical Biology

Volumn 265, Issue 4, 2010, Pages 579-585

  Prakash, Om ^a   Mehrotra, Shakti ^a   Krishna, Aneesh ^b   Mishra, Bhartendu N ^a  

^a INSTITUTE OF ENGINEERING AND TECHNOLOGY   (India)

^b CURTIN UNIVERSITY   (Australia)

Author keywords

ANN; Back propagation network; Glycyrrhiza; Hairy roots; Regression network

Indexed keywords

ACCURACY ASSESSMENT; ANGIOSPERM; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; BIOMASS; BIOREACTOR; MODELING; REGRESSION ANALYSIS; ROOT SYSTEM; TRANSFER FUNCTION; YIELD;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION NEURAL NETWORK; BIOMASS PRODUCTION; CONTROLLED STUDY; CULTURE MEDIUM; CULTURE OPTIMIZATION; DATA ANALYSIS; FRESH WEIGHT; GLYCYRRHIZA GLABRA; HAIRY ROOT CULTURE; INOCULATION; INTERMETHOD COMPARISON; PH; PREDICTION; PRIORITY JOURNAL; RADIAL BASED FUNCTION; REGRESSION NEURAL NETWORK; BIOMASS; GLYCYRRHIZA; GROWTH, DEVELOPMENT AND AGING; PLANT ROOT; PROCEDURES; REGRESSION ANALYSIS; TISSUE CULTURE TECHNIQUE;

BIOMASS; GLYCYRRHIZA; NEURAL NETWORKS (COMPUTER); PLANT ROOTS; REGRESSION ANALYSIS; TISSUE CULTURE TECHNIQUES;

GLYCYRRHIZA;

EID: 77954522991     PISSN: 00225193     EISSN: 10958541     Source Type: Journal    
DOI: 10.1016/j.jtbi.2010.05.020     Document Type: Article

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