How to select an optimal neural model of chemical reactivity?

Neurocomputing

Volumn 72, Issue 1-3, 2008, Pages 241-256

  Szaleniec, Maciej ^a   Tadeusiewicz, Ryszard ^b   Witko, Małgorzata ^a  

^a INSTITUTE OF CATALYSIS AND SURFACE CHEMISTRY   (Poland)

^b AGH UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Poland)

Author keywords

Classification; Ethylbenzene dehydrogenase; GRNN; Linear networks; MLP; Regression

Indexed keywords

CHEMICAL COMPOUNDS; CHEMICAL REACTIVITY; ENZYMES; ETHYLBENZENE; LINEAR NETWORKS; PATTERN RECOGNITION SYSTEMS; REGRESSION ANALYSIS; VEGETATION;

CLASSIFICATION; ETHYLBENZENE DEHYDROGENASE; GRNN; MLP; REGRESSION;

NEURAL NETWORKS;

CHEMICAL COMPOUND; ETHYLBENZENE; OXIDOREDUCTASE;

ARTICLE; ARTIFICIAL NEURAL NETWORK; CATALYSIS; CHEMICAL STRUCTURE; CHEMOREACTIVITY; CLASSIFICATION; COMPUTER MODEL; ENZYME MECHANISM; METHODOLOGY; PERCEPTRON; PREDICTION; PRIORITY JOURNAL; REGRESSION ANALYSIS;

EID: 55949130382     PISSN: 09252312     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.neucom.2008.01.003     Document Type: Article

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