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Genetic function approximation GFA

Sivakumar, P.M., Babu, S.K.G., Mukesh, D. QSAR studies on chalcones and flavonoids as antituberculosis agents using genetic function approximation (GFA) method. Chem. Pharm. Bull. 2007, 55, 44-9. [Pg.124]

Rogers D, Hopfinger AJ. Application of genetic function approximation (GFA) to quantitative structure-activity relationships. J Chem Inf Comput Sci 1994 34 854-866. [Pg.565]

Shi, L. M., Myers, T. G., Fan, Y., and Weinstein, J. N. (1997) Mining the NCI anticancer drug screen database using genetic function approximation (GFA) and cluster analysis. Abstr. Pap. Am. Chem. Soc. 213th, COMP-214. [Pg.368]

CAMD = computer-aided molecular design ES = evolutionary strategies GA = genetic algorithm GFA = genetic function approximation LOF = lack of fit LSE = least squares error MARS = multivariate adaptive regression spline PLS = partial least squares QSAR = quantitative structure-activity relationships RMSE = root mean squared error. [Pg.1115]

EA = evolutionary algorithm EP = evolutionary programming ES = evolution strategies GA — genetic algorithm GFA = genetic function approximation. [Pg.1127]

See other pages where Genetic function approximation GFA is mentioned: [Pg.112]    [Pg.164]    [Pg.507]    [Pg.145]    [Pg.148]    [Pg.145]    [Pg.188]    [Pg.469]    [Pg.473]    [Pg.476]    [Pg.851]    [Pg.53]    [Pg.348]    [Pg.355]    [Pg.1123]    [Pg.1133]    [Pg.112]    [Pg.164]    [Pg.507]    [Pg.145]    [Pg.148]    [Pg.145]    [Pg.188]    [Pg.469]    [Pg.473]    [Pg.476]    [Pg.851]    [Pg.53]    [Pg.348]    [Pg.355]    [Pg.1123]    [Pg.1133]    [Pg.164]    [Pg.133]    [Pg.162]    [Pg.687]   
See also in sourсe #XX -- [ Pg.145 ]



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