Chemical QSAR recognition by using fuzzy min-max neural-network / 生物医学工程学杂志
Journal of Biomedical Engineering
;
(6): 449-451, 2002.
Artículo
en Chino
| WPRIM
| ID: wpr-357005
ABSTRACT
By using the fuzzy min-max neural network, the quantitative structure-activity relationship (QSAR) of mutagenicity is studied. With the established QSAR model, the mutagenicity is predicted and the results showed that QASR is superior to linear-regression model. Further discussion on the models and the results is presented in this paper.
Texto completo:
Disponible
Índice:
WPRIM (Pacífico Occidental)
Asunto principal:
Algoritmos
/
Análisis por Conglomerados
/
Redes Neurales de la Computación
/
Lógica Difusa
/
Relación Estructura-Actividad Cuantitativa
/
Modelos Químicos
Tipo de estudio:
Estudio pronóstico
Idioma:
Chino
Revista:
Journal of Biomedical Engineering
Año:
2002
Tipo del documento:
Artículo
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