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EXPERT SYSTEM SOFTWARE FOR ASSESSING THE TECHNICAL CONDITION OF CRITICAL LINED EQUIPMENT
Advances in Intelligent Systems and Computing. 2020. Vol. 1115. P. 930-937.
Emelyanov V.
Language:
English
Keywords: artifitial neural networks
Buzaev F., Gao J., Ivan Chuprov et al., Machine Learning 2023 P. 1-18
Physics-informed neural networks (PINN) has emerged as a promising approach for solving partial differential equations (PDEs). However, the training process for PINN can be computationally expensive, limiting its practical applications. To address this issue, we investigate several acceleration techniques for PINN that combine Fourier neural operators, separable PINN, and first-order PINN. We also propose novel ...
Added: December 19, 2023
IOP Publishing, 2021
Organized by Beijing Jiaotong University, the 2020 International Symposium on Automation, Information and Computing (ISAIC 2020) was held successfully online from December 2nd-4th, 2020. ISAIC 2020 was primarily scheduled to be held in Beijing, China from 2nd to 4th December. However, due to the COVID-19, it had to be changed to virtual model. The technical ...
Added: March 31, 2021
Zolotova I., Dvorkin V., Studies on Russian Economic Development 2016
The electricity market liberalization in Russia has led to the emergence of the wholesale power market. Since that time, market participants operate in the competitive environment, facing everyday with market strategy planning issues. Under these conditions forecasting electricity prices has become an integral and daily challenge for most market participants. This is also true in ...
Added: October 23, 2015
Emelyanov V., Entropy 2021 Vol. 23 No. 1 Article 94
Added: February 8, 2022
Emelyanov V., Inventions 2022 Vol. 7 No. 1 Article 8
Added: February 8, 2022
Alekseev A., Economy of Region 2022 Vol. 18 No. 2 P. 609-622
The existing mass appraisal models and mathematical tools for predicting the market value of residential property have a number of disadvantages, as they are developed for individual regions. Without considering the constantly changing economic environment, these models quickly become outdated and require constant updating. Thus, they are not suitable for construction business optimisation. The study ...
Added: November 19, 2023
Yasnitsky L., Медведева Е. Ю., Белобородова Н. О., Финансовая аналитика: проблемы и решения 2017 Т. 10 № 4 С. 449-463
Theme. Neural network forecasting in the film business. Goal. The article is devoted to application of economic-mathematical modeling in the field of film industry, in particular – to predict revenue and profit from distribution of future films, the identification of factors influencing the commercial success of the film business. Methodology. The basis of economic-mathematical model ...
Added: December 12, 2017
Emelyanov V., Energies 2021 Vol. 14 No. 23 Article 8040
Added: February 8, 2022
Rabchevskiy A., Ashikhmin E., Yasnitsky L., , in : Cyber-Physical Systems and Control II. : Springer, 2023. P. 535-544.
The problem of creating datasets for training and testing neural networks is described in the example of the task of social network management. A method of expert dataset synthesis based on experts’ knowledge of the subject area is proposed. The essence of the method lies in the fact that sets are generated randomly within the ...
Added: November 20, 2023
Чупров И. А., Гао Ц., Efremenko D. et al., Доклады Российской академии наук. Математика, информатика, процессы управления (ранее - Доклады Академии Наук. Математика) 2023 Т. 514 № 2 С. 28-38
Физико-информированные нейронные сети (Physics Informed Neural Networks – PINN) являются перспективным методом решения уравнений в частных производных с помощью машинного обучения. В работе рассмотрено применение PINN к нелинейному уравнению Шредингера для описания ...
Added: December 19, 2023