Derivation of quantitative structure-toxicity relationships for ecotoxicological effects of organic chemicals: Evolving neural networks and evolving rules

2005 IEEE Congress on Evolutionary Computation, IEEE CEC 2005. Proceedings

Volumn 1, Issue , 2005, Pages 274-281

  Fogel, Gary B ^a   Cheung, Mars ^a  

^a NATURAL SELECTION INC   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ENVIRONMENTAL IMPACT; MARINE BIOLOGY; NEURAL NETWORKS; ORGANIC COMPOUNDS; TOXICITY;

AQUATIC ORGANISMS; MECHANISM OF ACTIONS (MOA); NARCOTICS; RULE-BASED CLASSIFIERS;

EVOLUTIONARY ALGORITHMS;

EID: 27144479212     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. M.T. Cronin, J.C. Dearden, J.D. Walker, and A.P. Worth (2003) "Quantitative structure-activity relationships for human health effects: commonalities with other endpoints," Environ. Toxicol. Chem. 22(8): 1829-1843.
2. S.P. Bradbury, C.L. Russom, G.T. Ankley, T.W. Schultz, and J.D. Walker (2003) "Overview of data and conceptual approaches for derivation of quantitative structure-activity relationships for ecotoxicological effects of organic chemicals," Environ. Toxicol. Chem. 22(8): 1789-1798.
3. R. Shoji (2005) "The potential performance of artificial neural networks in QSTR for predicting ecotoxicity of environmental pollutants," Curr. Comp.-Aided Drug Design. 1:65-72.
4. A.P. Bearden and T.W. Schultz (1997) "Structure-activity relationships for Pimephales and Tetrahymena: A Mechanism of Action Approach," Environ. Toxicol. Chem. 16:1311-1317.
5. S. Ren and T.W. Schultz (2002) "Identifying the mechanism of aquatic toxicity of selected compounds by hydrophobicity and electrophilicity descriptors," Toxicol. Lett. 129:151-160.
6. O. Ivanciuc (2002) "Support vector machine identification of the aquatic toxicity mechanism of organic compounds," Internet Electronic Journal of Molecular Design. 1:157-172.
7. V.W. Porto, D.B. Fogel, and L.J. Fogel (1995) "Alternative neural network training methods," IEEE Expert, June, pp. 16-22.
8. D. Landavazo and G.B. Fogel (2002) "Evolved neural networks for quantitative structure-activity relationships of anti-HIV compounds," In: Proc. of the Congress on Evolutionary Computation, IEEE Press, Honolulu HI.
9. D.G. Landavazo, G.B. Fogel, and D.B. Fogel (2002) "Quantitative structure-activity relationships by evolved neural networks for the inhibition of dihydrofolate reductase by pyrimidines," BioSystems 65:37-47.
10. D. Weekes and G.B. Fogel (2003) "Evolutionary optimization, backpropagation, and data preparation issues in QSAR modeling of HIV inhibition by HEPT derivatives," BioSystems 72:149-158.
11. J.J. Rowland (2003) "Model selection methodology in supervised learning with evolutionary computation," BioSystems 72:187-196.
12. V.W. Porto, D.B. Fogel, L.J. Fogel, G.B. Fogel., N. Johnson, and M. Cheung (2005) "Classifying Sonar Returns for the Presence of Mines: Evolving Neural Networks and Evolving Rules," 2005 IEEE Symposium on Computational Intelligence for Homeland Security and Personal Safety, (D.B. Fogel and V. Piuri, eds.), pp 123-130.