Prediction of λmax of 1,4-naphthoquinone derivatives using ant colony optimization

Analytica Chimica Acta

Volumn 663, Issue 1, 2010, Pages 7-10

  Atabati, M ^a   Zarei, K ^a   Mohsennia, M ^a  

^a DAMGHAN UNIVERSITY   (Iran)

Author keywords

Ant colony optimization; Maximum wavelength; Naphthoquinone; Quantitative structure property relationship

Indexed keywords

ACO ALGORITHMS; ANT COLONY OPTIMIZATION; AVERAGE ABSOLUTE RELATIVE DEVIATIONS; FEATURE SELECTION; META HEURISTIC ALGORITHM; MULTIPLE LINEAR REGRESSION METHOD; NAPHTHOQUINONE; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; SIMULATED ANNEALING METHOD; STEPWISE REGRESSION;

ARTIFICIAL INTELLIGENCE; FEATURE EXTRACTION; FORECASTING; HEURISTIC ALGORITHMS; KETONES; LINEAR REGRESSION; SULFUR COMPOUNDS;

SIMULATED ANNEALING;

1,4 NAPHTHOQUINONE DERIVATIVE;

ALGORITHM; ANT; ARTICLE; CALIBRATION; CLASSIFICATION; CONTROLLED STUDY; GENETIC ALGORITHM; INTERMETHOD COMPARISON; MULTIPLE LINEAR REGRESSION ANALYSIS; ORGANISM COLONY; PRIORITY JOURNAL; QUANTITATIVE STRUCTURE PROPERTY RELATION; REGRESSION ANALYSIS; STATISTICAL MODEL;

ALGORITHMS; ANIMALS; ANTS; LINEAR MODELS; MODELS, BIOLOGICAL; MODELS, MOLECULAR; NAPHTHOQUINONES; QUANTITATIVE STRUCTURE-ACTIVITY RELATIONSHIP;

FORMICIDAE;

EID: 77951621176     PISSN: 00032670     EISSN: 18734324     Source Type: Journal    
DOI: 10.1016/j.aca.2010.01.024     Document Type: Article

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