Open AccessUsing artificial neural networks in prediction of the drying process of foods that are rich in sugars
Author(s) -
E. Figueroa-García,
V.S. Farias-Cervante,
M. Segura -Castruita,
Isaac Andrade González,
M.I. Montero- Cortez,
Alejandra ChávezRodríguez
Publication year - 2020
Publication title -
revista mexicana de ingeniería química
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.288
H-Index - 18
eISSN - 2395-8472
pISSN - 1665-2738
DOI - 10.24275/rmiq/sim1403
Subject(s) - artificial neural network , process (computing) , sugar , spray drying , biological system , linear regression , inverse , mean squared prediction error , backpropagation , mathematics , computer science , artificial intelligence , process engineering , machine learning , biochemical engineering , chemistry , engineering , chromatography , food science , geometry , biology , operating system