Predicting the net heat of combustion of organic compounds from molecular structures based on ant colony optimization

Journal of Loss Prevention in the Process Industries

Volumn 24, Issue 1, 2011, Pages 85-89

  Pan, Y ^a,b   Jiang, J C ^a   Wang, R ^a   Jiang, J J ^a  

^a NANJING TECH UNIVERSITY   (China)

^b UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

Author keywords

Ant colony optimization; Molecular structure; Net heat of combustion; Prediction; Quantitative structure property relationship (QSPR)

Indexed keywords

ACCURATE PREDICTION; ANT COLONY OPTIMIZATION ALGORITHMS; ANT COLONY OPTIMIZATION METHODS; ANT-COLONY OPTIMIZATION; DATA SETS; DESCRIPTORS; HEAT OF COMBUSTION; INPUT PARAMETER; LINEAR MODEL; MOLECULAR DESCRIPTORS; MULTI-LINEAR REGRESSION; NET HEAT OF COMBUSTION; OPTIMAL SUBSETS; OVERALL PROPERTIES; PARTIAL LEAST SQUARES; PREDICTION; QUANTITATIVE STRUCTURE PROPERTY RELATIONSHIPS; QUANTITATIVE STRUCTURE-PROPERTY RELATIONSHIP MODELS; SQUARED CORRELATION COEFFICIENTS; TEST SETS; TRAINING SETS; VARIABLE SELECTION METHODS;

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMBUSTION; FORECASTING; LAKES; MATHEMATICAL MODELS; MOLECULAR STRUCTURE; ORGANIC COMPOUNDS; SHAPE OPTIMIZATION; STRUCTURAL PROPERTIES; THERMOCHEMISTRY;

STRUCTURAL OPTIMIZATION;

EID: 78650521335     PISSN: 09504230     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.jlp.2010.11.001     Document Type: Article

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