Automating Prediction of Roller Mills Performance in a Concentrator Using a Predictive Model by an Artificial Neural Network-Reference-Cited by-同舟云学术

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Automating Prediction of Roller Mills Performance in a Concentrator Using a Predictive Model by an Artificial Neural Network

Published:2023-09-10 Issue: Volume: Page:
ISSN:
Container-title:2023 International Russian Automation Conference (RusAutoCon)
language:
Short-container-title:

Author:

Ivashchuk Orest D.¹,Igrunova Svetlana V.²,Nesterova Elena V.²

Affiliation:

1. Belgorod State National Research University,Institute of Engineering Technology and Natural Sciences,Dept of Applied Mathematics and Computer Modeling,Belgorod,Russia

2. Belgorod State National Research University,Institute of Engineering Technology and Natural Sciences,Dept of Information and Robotic Systems,Belgorod,Russia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10272720/10272698/10272737.pdf?arnumber=10272737

Reference16 articles.

1. Forecasting the environmental situation at the purification plants of the enterprise based on fuzzy logic

2. Development of models for predicting the efficiency of a high-pressure roller crusher based on regression analysis;ivashchuk;STIN,2020

3. Mathematical models of complex poorly-formalized systems: component-based approach;shcherbatov;Systems Methods Technologies,2014

4. Predicting the Operational Efficiency of High-Pressure Roller Crushers

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