Conference
Simulation of Coke Quality Indicators Using Artificial Neural Network
| العنوان: | Simulation of Coke Quality Indicators Using Artificial Neural Network |
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| المؤلفون: | Sidorov, O., Aristova, N. |
| بيانات النشر: | Knowledge E |
| سنة النشر: | 2020 |
| المجموعة: | Ural Federal University (URFU): ELAR / Уральский федеральный университет: электронный архив УрФУ |
| مصطلحات موضوعية: | ARTIFICIAL NEURAL NETWORK, COKE, COKE REACTIVITY INDEX, COKE STRENGTH AFTER REACTION |
| الوصف: | The article shows the application of a neural network for modeling coke quality indicators Coke Reactivity Index (CRI) and Coke Strength after Reaction (CSR). Two optimization methods were used to train the neural network. The influence of the number of neurons on the simulation results was studied. The difference between experimental and calculated data on average does not exceed 2 %. The conclusion is made about the prospects of using a neural network to predict the values of CRI and CSR of coke. |
| نوع الوثيقة: | conference object |
| وصف الملف: | application/pdf |
| اللغة: | English |
| تدمد: | 2518-6841 |
| Relation: | III Annual International Conference "System Engineering". — Ekaterinburg, 2020; Sidorov O. Simulation of Coke Quality Indicators Using Artificial Neural Network / O. Sidorov, N. Aristova // III Annual International Conference "Systems Engineering" (Ekaterinburg, Russia, 11-13 December, 2019). – Dubai : Knowledge E, 2020. – KnE Engineering, 5 (3). – pp. 21-28. – DOI 10.18502/keg.v5i3.6753; http://elar.urfu.ru/handle/10995/82817 |
| DOI: | 10.18502/keg.v5i3.6753 |
| الاتاحة: | http://elar.urfu.ru/handle/10995/82817 https://doi.org/10.18502/keg.v5i3.6753 |
| Rights: | Creative Commons Attribution License ; https://creativecommons.org/licenses/by/4.0/ |
| رقم الانضمام: | edsbas.925AE032 |
| قاعدة البيانات: | BASE |
| تدمد: | 25186841 |
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| DOI: | 10.18502/keg.v5i3.6753 |