Application of Multiple Linear Regression and Artificial Neural Networks for the Prediction of the Packing and Capsule Filling Performance of Coated and Plain Pellets Differing in Density and Size

Plain or coated pellets of different densities 1.45, 2.53, and 3.61 g/cc in two size ranges, small (380–550 μm) and large (700–1200 μm) (stereoscope/image analysis), were prepared according to experimental design using extrusion/spheronization. Multiple linear regression (MLR) and artificial neural...

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Detalles Bibliográficos
Autores principales: Barmpalexis, Panagiotis, Partheniadis, Ioannis, Mitra, Konstantina-Sepfora, Toskas, Miltiadis, Papadopoulou, Labrini, Nikolakakis, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150777/
https://www.ncbi.nlm.nih.gov/pubmed/32182685
http://dx.doi.org/10.3390/pharmaceutics12030244

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7150777/
https://www.ncbi.nlm.nih.gov/pubmed/32182685
http://dx.doi.org/10.3390/pharmaceutics12030244

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