ChemInform 2011, 42, issue 26 © 2011 Wiley-VCH Verlag GmbH & Co. KGaA, Weinheim Theoretical chemistry Z 0350 DOI: 10.1002/chin.201126269 Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-Regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-Optimized Support Vectors Machines (GA-SVM) — [105 refs.]. — (FERNANDEZ*, M.; CABALLERO, J.; FERNANDEZ, L.; SARAI, A.; Mol. Diversity 15 (2011) 1, 269-289, http://dx.doi.org/10.1007/s11030-010-9234-9 ; Dep. Biosci. Bioinf., Kyushu Inst. Technol., Iizuka, Fukuoka 820, Japan; Eng.) — Lindner 26- 269

ChemInform Abstract: Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-Regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-Optimized Support Vectors Machines

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Page 1: ChemInform Abstract: Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-Regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-Optimized Support Vectors Machines

Theoretical chemistryZ 0350 DOI: 10.1002/chin.201126269

Genetic Algorithm Optimization in Drug Design QSAR: Bayesian-Regularized Genetic Neural Networks (BRGNN) and Genetic Algorithm-Optimized Support Vectors Machines (GA-SVM) — [105 refs.]. — (FERNANDEZ*, M.; CABALLERO, J.; FERNANDEZ, L.; SARAI, A.; Mol. Diversity 15 (2011) 1, 269-289, http://dx.doi.org/10.1007/s11030-010-9234-9 ; Dep. Biosci. Bioinf., Kyushu Inst. Technol., Iizuka, Fukuoka 820, Japan; Eng.) — Lindner

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