Application of artificial neural network in predicting the extraction yield of essential oils of Diplotaenia cachrydifolia by supercritical fluid extraction

Journal of Supercritical Fluids

Volumn 69, Issue , 2012, Pages 91-96

  Khajeh, Mostafa ^a   Moghaddam, Mansour Ghaffari ^a   Shakeri, Mohammad ^a  

^a UNIVERSITY OF ZABOL   (Iran)

Author keywords

Artificial neural network (ANN); Diplotaenia cachrydifolia; Essential oils; Levenberg Marquardt (LM); Supercritical fluid extraction

Indexed keywords

ARTIFICIAL NEURAL NETWORK MODELS; COEFFICIENT OF DETERMINATION; DILL-APIOLE; DIPLOTAENIA CACHRYDIFOLIA; ERROR BACK-PROPAGATION; EXTRACTION TIME; EXTRACTION YIELD; HIDDEN NEURONS; INPUT PARAMETER; LEVENBERG-MARQUARDT; LEVENBERG-MARQUARDT ALGORITHM; MEAN SQUARED ERROR; MULTILAYER FEEDFORWARD NEURAL NETWORKS; PREDICTIVE MODELS; THREE-LAYER;

ALGORITHMS; EXTRACTION; FORECASTING; NEURAL NETWORKS; SUPERCRITICAL FLUID EXTRACTION;

ESSENTIAL OILS;

EID: 84863952623     PISSN: 08968446     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.supflu.2012.05.006     Document Type: Article

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