Novel feature selection method based on stochastic methods coupled to support vector machines using H- NMR data (data of olive and hazelnut oils)

Uno de los principales inconvenientes que se presentan en el anl̀isis y procesamiento de la informacin̤, es que en la representacin̤ de la informacin̤ normalmente se encuentra un alto nm͠ero de muestras, cada una de ellas con cientos de variables, en muchos casos con informacin̤ irrelevante y ruidos...

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Другие авторы:	Gualdron Oscar Eduardo, Duran Cristhian Manuel, Isaza Claudia, Universidad Industrial de Santander (UIS)
Формат:	‌
Язык:	английский
Предметы:	Aceites y grasas Industria de aceites vegetales Procesos estocs̀ticos Oils and fats Vegetable oil industry Stochastic processes Seleccin̤ de parm̀etros H-NMR Recocido simulado Mq̀uinas de soporte vectorial Aceite de oliva Aceite Feature selection H-NMR Simulated annealing Support vector machine Olive oil Hazelnut oil
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Novel feature selection method based on stochastic methods coupled to support vector machines using H- NMR data (data of olive and hazelnut oils)

Novel feature selection method based on stochastic methods coupled to support vector machines using H- NMR data (data of olive and hazelnut oils)

Internet

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