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Anna Bakurova, Olesia Yuskiv, Dima Shyrokorad, Anton Riabenko, Elina Tereschenko
Pág. 14 - 22
The subject of the research is the methods of constructing and training neural networks as a nonlinear modeling apparatus for solving the problem of predicting the energy consumption of metallurgical enterprises. The purpose of this work is to develop a ...
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Brina Miftahurrohmah,Catur Wulandari,Yogantara Setya Dharmawan
Pág. 11 - 21
Background: Stock investment has been gaining momentum in the past years due to the development of technology. During the pandemic lockdown, people have invested more. One the one hand, stock investment has high potential profitability, but on the other,...
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Yan Zeng, Jiantao Yang and Yuehong Yin
As one of the most direct indicators of the transparency between a human and an exoskeleton, interactive force has rarely been fused with electromyography (EMG) in the control of human-exoskeleton systems, the performances of which are largely determined...
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Jiao Liu, Guoyou Shi and Kaige Zhu
To improve the overall accuracy of tidal forecasting and ameliorate the low accuracy of single harmonic analysis, this paper proposes a combined tidal forecasting model based on harmonic analysis and autoregressive integrated moving average?support vecto...
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OLEG O. RIBAK
A dynamic-stochastic model based on random forcing of Adem thermodynamic climate model is considered. The way of including simplified atmospheric water budget is proposed. Computed fields of standard deviations of ocean mixed layer monthly temperature...
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