Improving the Efficiency of a Multistage Evaporator Station for Sugar Production Using Neural Networks-Reference-Cited by-同舟云学术

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Improving the Efficiency of a Multistage Evaporator Station for Sugar Production Using Neural Networks

Published:2022-10-20 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 4th International Conference on Modern Electrical and Energy System (MEES)
language:
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Author:

Zaiets Nataliia¹^ORCID,Lutska Nataliia²^ORCID,Vlasenko Lidiia³^ORCID

Affiliation:

1. National University of Life and Environmental Sciences of Ukraine,det. of Automation and Robotic Systems,Kyiv,Ukraine

2. National University of Food Technologies,dept. of Automation and Computer Technologies of Control Systems,Kyiv,Ukraine

3. State University of Trade and Economics,dept. of Software Engineering and Cyber Security,Kyiv,Ukraine

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10005607/10005603/10005745.pdf?arnumber=10005745

Reference20 articles.

1. Synthesis of Optimal Robust Regulator for Food Processing Facilities

2. Digital Twin for Monitoring of Industrial Multi-Effect Evaporation

3. Mathematical model of two-phase flow processes in heat exchange tubes of the falling film evaporator

4. Resource Efficiency Forecasting Neural Network Model for the Sugar Plant Diffusion Station

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