1. Главная
  2. Ресурсы
  3. Библиотечный поиск
Application of neuralnetworks to predictthe quality of ironore concentrate basedon flotation data Kukartsev VladislavDegtyareva Ksenia2024 год

Application of neural networks to predict the quality of iron ore concentrate based on flotation data
статья из журнала

Дополнительные ссылки: eLibrary
База данных: Каталог библиотеки СФУ
Библиографическое описание: Application of neural networks to predict the quality of iron ore concentrate based on flotation data : научное издание / V. V. Kukartsev, K. K. Degtyareva. - Текст : непосредственный // E3S Web of Conferences. - 2024. - Т. 583, № . - С. 01014. - ISSN 2555-0403. - ISSN 2267-1242, DOI 10.1051/e3sconf/202458301014.
Аннотация: <jats:p>This paper presents a study aimed at developing and testing a neural network model for predicting the percentage of silica in iron ore concentrate obtained during flotation. The problem of precise control of the silica content is critical for the mining industry, since the quality of the final product and, accordingly, its market value depend on it. During the study, data was collected from the flotation plant, their preliminary processing was carried out, including standardization and elimination of missing values. The developed neural network model included two hidden layers and was trained on real data. The evaluation of the model quality showed high results, which was confirmed by the metrics of mean square error (MSE), mean absolute error (MAE) and coefficient of determination (R<jats:sup>2</jats:sup>). Additionally, an analysis of the visualizations of the residuals and predicted values confirmed the accuracy and stability of the model. The results of the study demonstrate that the proposed model can be effectively used in production conditions to improve process control and improve product quality in the mining industry.</jats:p>
Год издания: 2024
Авторы: Kukartsev Vladislav, Degtyareva Ksenia
Издательство: EDP Sciences - Web of Conferences, Les Ulis
Источник: E3S Web of Conferences
Выпуск: Т. 583
Номера страниц: 01014
Количество экземпляров:
Твёрдая копия издания отсутствует в фонде библиотеки

Похожие публикации

Forecasting theenvironmental safetyof water resourcesusing neural networks Evsuykov DmitryDegtyareva KseniaBoyko Andrei2024 год

Forecasting the environmental safety of water resources using neural networks : статья из журнала

  • Evsuykov Dmitry и др.
  • 2024 год
A Multi-ObjectiveOptimization ofNeural Networks forPredicting thePhysical Propertiesof Textile PolymerComposite… Malashin IvanTynchenko VadimGantimurov Andrei2024 год

A Multi-Objective Optimization of Neural Networks for Predicting the Physical Properties of… : статья из журнала

  • Malashin Ivan и др.
  • 2024 год
Application ofGradient OptimizationMethods in DefiningNeural Dynamics Stanimirović Predrag S.Tešić NatašaGerontitis Dimitrios2024 год

Application of Gradient Optimization Methods in Defining Neural Dynamics : статья из журнала

  • Stanimirović Predrag S. и др.
  • 2024 год
Application of neuralnetworks fordetecting defects anddamage in metalstructure Agamirov V. L.Agamirov L. V.Nosikov M. A.2025 год

Application of neural networks for detecting defects and damage in metal structure : статья из журнала

  • Agamirov V. L. и др.
  • 2025 год
Recurrent NeuralNetwork (RNN)-BasedApproach to PredictMean Flow Stress inIndustrial Rolling Zinyagin Alexey G.Muntin Alexander V.Tynchenko Vadim S.2024 год

Recurrent Neural Network (RNN)-Based Approach to Predict Mean Flow Stress in Industrial Rolling : статья из журнала

  • Zinyagin Alexey G. и др.
  • 2024 год
Petroleum BottlingModel in the ArcticZone of KrasnoyarskRegion by NeuralNetwork Forecasting Moskalev AleksanderGrebnev Yaroslav2021 год

Petroleum Bottling Model in the Arctic Zone of Krasnoyarsk Region by Neural Network Forecasting : научное издание

  • Moskalev Aleksander и др.
  • 2021 год
AUTOMATIC GENERATIONOF NEURAL NETWORKARCHITECTURES BYMULTI-OBJECTIVEGENETIC ALGORITHM Edreev VladimirStanovov Vladimir2025 год

AUTOMATIC GENERATION OF NEURAL NETWORK ARCHITECTURES BY MULTI-OBJECTIVE GENETIC ALGORITHM : научное издание

  • Edreev Vladimir и др.
  • 2025 год
Crop yieldforecasting usingneural networkstrained on the basisof agrometeorologicaland agrochemical data Degtyareva KseniaTynchenko VadimStepanov Nikita2024 год

Crop yield forecasting using neural networks trained on the basis of agrometeorological and agrochemical data :…

  • Degtyareva Ksenia и др.
  • 2024 год

Показать ещё

Predicting creepdeformation ofasphalts modifiedwith polymer usingartificial neuralnetworks Saoudi B. S.Haddadi S. H.2021 год

Predicting creep deformation of asphalts modified with polymer using artificial neural networks : статья из журнала

  • Saoudi B. S. и др.
  • 2021 год
Predictive modellingof post-monsoongroundwater qualityin Telangana usingmachine learningtechniques Olentsova JuliaKukartsev VladislavOrlov Vasiliy2024 год

Predictive modelling of post-monsoon groundwater quality in Telangana using machine learning… : доклад, тезисы доклада

  • Olentsova Julia и др.
  • 2024 год
Application ofmachine learningalgorithms forpredictingagricultural cropyields Kukartsev VladislavOrlov VasiliyKhramkov Vladimir2024 год

Application of machine learning algorithms for predicting agricultural crop yields : доклад, тезисы доклада, статья…

  • Kukartsev Vladislav и др.
  • 2024 год
Prediction of theremaining servicelife of pumping unitelements based onregularization ofrecurrent neuralnetworks Kolenchukov O.A.Fayfer V.A.Bukhtoyarov V.V.2025 год

Prediction of the remaining service life of pumping unit elements based on regularization of… : научное издание

  • Kolenchukov O.A. и др.
  • 2025 год
The use ofcollections ofartificial neuralnetworks to improvethe control qualityof the inductionsoldering process Milov Anton VladimirovichTynchenko Vadim SergeevichKurashkin Sergei Olegovich2021 год

The use of collections of artificial neural networks to improve the control quality of the… : статья из журнала

  • Milov Anton Vladimirovich и др.
  • 2021 год
Improving theefficiency of theautomated process ofdrying flotationconcentrate in a drumdrying furnace Kovalev IgorKulmurodova NafisaKulmurodov Zarifjon2025 год

Improving the efficiency of the automated process of drying flotation concentrate in a drum drying… : научное издание

  • Kovalev Igor и др.
  • 2025 год
Application ofmachine learningmethods to predictsoil moisture basedon meteorological andatmospheric data Tynchenko VadimKukartseva OksanaDegtyareva Ksenia2024 год

Application of machine learning methods to predict soil moisture based on meteorological and atmospheric data :…

  • Tynchenko Vadim и др.
  • 2024 год
On Partial GroupoidsAssociated with theComposition ofMultilayerFeedforward NeuralNetworks Litavrin Andrey V.Moiseenkova Tatyana V.2024 год

On Partial Groupoids Associated with the Composition of Multilayer Feedforward Neural Networks : научное издание

  • Litavrin Andrey V. и др.
  • 2024 год