Bayesian regularized BP neural network model for quantitative relationship between the electrochemical reduction potential and molecular structures of chlorinated aromatic compounds

Huanjing Kexue/Environmental Science

Volumn 26, Issue 2, 2005, Pages 21-27

  Sun, Wei ^a   Zeng, Guang Ming ^a   Wei, Wan Zhi ^a   Huang, Guo He ^a  

^a HUNAN UNIVERSITY   (China)

Author keywords

Bayesian regularized neural model; Chlorinated aromatic compounds; Electric potential; QSPR; Sum of square weights

Indexed keywords

CHLORINATED HYDROCARBON;

ARTICLE; ARTIFICIAL NEURAL NETWORK; BAYES THEOREM; CHEMICAL MODEL; CHEMICAL STRUCTURE; CHEMISTRY; ELECTROCHEMISTRY; MOLECULAR WEIGHT;

BAYES THEOREM; ELECTROCHEMISTRY; HYDROCARBONS, CHLORINATED; MODELS, CHEMICAL; MOLECULAR STRUCTURE; MOLECULAR WEIGHT; NEURAL NETWORKS (COMPUTER);

EID: 15944386038     PISSN: 02503301     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (15)