Using artificial neural networks in prediction of the drying process of foods that are rich in sugars | Zendy

E. Figueroa-García | Zendy; V.S. Farias-Cervante | Zendy; Miguel Ángel Segura-Castruita | Zendy; Isaac AndradeGonzález | Zendy; M.I. Montero- Cortez | Zendy; Alejandra ChávezRodríguez | Zendy

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Using 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,

Miguel Ángel Segura-Castruita,

Isaac AndradeGonzález,

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

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