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Control of the process of wear of the tribosystems based on the optical density of the lubricating oil using neural network models
Shram, V G, Agafonov, E D, Orlovskaya, N F, Vashchenko, G V, Egorov, A V
the stage of constructing multifactor intelligent critical wear models depending on the optical density
Heavy tails and asymmetry of returns in the Russian stock market
Ankudinov A., Ibragimov R., Lebedev O.
of the above-mentioned factors on the asymmetry of returns, the statistical reliability of relevant models
Two models of the sound-signal frequency dependence on the animal body size as exemplified by the ground squirrels of Eurasia (mammalia, rodentia)
Nikol’skii A.A.
according to signal frequency, two statistically significant models (regression equations) were obtained
Improving the Energy Efficiency of Electricity Distribution in the Mining Industry Using Distributed Generation by Forecasting Energy Consumption Using Machine Learning
Senchilo N., Babanova I.
on energy consumption for further regression analysis based on the methods of moving average and weighted
Assessment of the reputation capital impact of a region on its economic growth parameters (On the example of the Republic of Tatarstan)
Safiullin M., Grunichev A., Elshin L.
but on methods of quantitative modelling of the processes under study using a set of mathematical models
Novel Approach to Predict Ground-Level Ozone Concentration Using S-estimation and MM-Estimimation
Ul-Saufie A.Z., Al-Jumeily D., Hussain A., Muhamad M., Musafina J., Ghali F., Baker T.
of the model. The influential outliers from x-space (predictors) have been identified using leverage values
Automated Complex for the Study of Digital Model of Titan
Andreev A., Nefedyev Y., De La Morena C., Ahmedshina E., Demina N.
This paper aims at considering the issues of regression modeling of the surface of Saturn's moon
Statistical methods in credit risk modeling
Matyushenko S.I., Pyatkina D.A., Emmanuel Nibasumba
in the banking system and their comparison: Discriminant analyses, Neural network and binary logistic regression
Making the multicomponent model of earth latitude alternation using software package asrm-2017
© SGEM 2018. The first results of using adaptive regression modeling (ARM-approach) in description
Forecasting sales of leasing companies in the market of cargo vehicles
Shabanova L., Timiryasova A., Safiullina L.
© Medwell Journals, 2016.Most economic models are multifactorial. Unfortunately, not all factors

Страница 22 из 5018

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