ENHANCEMENT SPECTRAL RESOLUTION FOR THE PREDICTION AMOUNT OF SOFOSBUVIR AND LEDIPASVIR USING LEAST SQUARES SUPPORT VECTOR MACHINE AND ARTIFICIAL NEURAL NETWORKS IN PHARMACEUTICAL FORMULATION

ENHANCEMENT SPECTRAL RESOLUTION FOR THE PREDICTION AMOUNT OF SOFOSBUVIR AND LEDIPASVIR USING LEAST SQUARES SUPPORT VECTOR MACHINE AND ARTIFICIAL NEURAL NETWORKS IN PHARMACEUTICAL FORMULATION

ABSTRACT In this study, least squares support vector machine (LS-SVM) and artificial neural networks (ANNs) as intelligent methods combined with spectrophotometry method, were used for determination of Sofosbuvir (SOF) and Ledipasvir (LED) in synthetic mixtures and Harvoni tablet simultaneously. In...

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Autores principales: Safakhoo,Negin, Sohrabi,Mahmoud Reza, Khalili,Mahsa, Mofavvaz,Shirin
Lenguaje:English
Publicado: Sociedad Chilena de Química 2019
Materias:
least square support vector machine
Artificial neural networks
Sofosbuvir
Ledipasvir
Harvoni
Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072019000104310
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http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0717-97072019000104310

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