An improved QSPR study of standard formation enthalpies of acyclic alkanes based on artificial neural networks and genetic algorithm

Chemometrics and Intelligent Laboratory Systems

Volumn 98, Issue 2, 2009, Pages 162-172

  Zhang, Yaxiong ^a  

^a SHANXI NORMAL UNIVERSITY   (China)

Author keywords

Acyclic alkane; Artificial neural networks; Genetic algorithm; QSPR; Standard formation enthalpy

Indexed keywords

ALKANE DERIVATIVE;

ANALYTICAL ERROR; ARTICLE; ARTIFICIAL NEURAL NETWORK; BACK PROPAGATION; CHEMICAL STRUCTURE; ENTHALPY; GENETIC ALGORITHM; MACHINE LEARNING; NERVE CELL; PREDICTION; PRIORITY JOURNAL; PROCESS OPTIMIZATION; QUANTITATIVE STRUCTURE PROPERTY RELATION; STRUCTURE ANALYSIS;

EID: 69349103354     PISSN: 01697439     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.chemolab.2009.06.003     Document Type: Article

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