Use este identificador para citar o ir al link de este elemento:
http://hdl.handle.net/1843/40951
Tipo: | Artigo de Periódico |
Título: | Hopfield neural network-based algorithm applied to differential scanning calorimetry data for kinetic studies in polymorphic conversion |
Autor(es): | Bárbara Caroline Rodrigues de Araujo Felipe Silva Carvalho Maria Betânia de Freitas Marques João Pedro Braga Rita de Cássia de Oliveira Sebastião |
Resumen: | A general kinetic equation to simulate differential scanning calorimetry (DSC) data was employed along this work. Random noises are used to generate a thousand data, which are considered to evaluate the performance of Levenberg-Marquardt (LM) and a Hopfield neural network (HNN) based algorithm in the fitting process. The HNN-based algorithm showed better results for two different initial conditions: exact and approximated values. After this statistical analysis, DSC experimental data at three heating rates for losartan potassium, an antihypertensive drug, was adjusted by the HNN method using different initial conditions to obtain the activation energy and frequency factor. Additionally, it was possible to recover the parameters for the kinetic model with accuracy, showing that the conversion is described by a complex process, once these values do not correspond to any ideal models described in the literature. |
Asunto: | Algoritmo Rede Neural Hopfield Redes neurais artificiais Calorimetria |
Idioma: | eng |
País: | Brasil |
Editor: | Universidade Federal de Minas Gerais |
Sigla da Institución: | UFMG |
Departamento: | FAR - DEPARTAMENTO DE ALIMENTOS ICX - DEPARTAMENTO DE QUÍMICA |
Tipo de acceso: | Acesso Aberto |
Identificador DOI: | 10.21577/0103-5053.20200024 |
URI: | http://hdl.handle.net/1843/40951 |
Fecha del documento: | jul-2020 |
metadata.dc.url.externa: | https://www.scielo.br/j/jbchs/a/Q4CmPZ9dzDc3CGKJGjk9kJx/?lang=en |
metadata.dc.relation.ispartof: | Journal of the Brazilian Chemical Society |
Aparece en las colecciones: | Artigo de Periódico |
archivos asociados a este elemento:
archivo | Descripción | Tamaño | Formato | |
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Hopfield Neural Network-Based Algorithm Applied to Differential Scanning Calorimetry Data for Kinetic Studies in Polymorphic Conversion.pdf | 2.4 MB | Adobe PDF | Visualizar/Abrir |
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