Zobrazeno 1 - 10
of 14
pro vyhledávání: '"O K, Alsova"'
Publikováno v:
Russian Agricultural Sciences. 48:115-122
Publikováno v:
Achievements of Science and Technology in Agro-Industrial Complex. 36:51-56
Publikováno v:
IOP Conference Series: Earth and Environmental Science. 839:032042
The results of the development of predictive models of the yield of spring wheat based on the use of the decision tree method are presented. When constructing the models, qualitative factors were taken into account (the level of intensification, the
Autor:
A. V. Peshkov, O. K. Alsova
Publikováno v:
Journal of Physics: Conference Series. 1661:012070
This article presents the results of using ensemble algorithms for short-term hourly forecasting of electricity prices. Combining forecasts has proved itself to be the approach that is most useful in the following situations. There is uncertainty in
Publikováno v:
Journal of Physics: Conference Series. 1661:012200
The article presents the results of research of a simulation model of the process of organizing the movement and maintenance of trains at the Railway Station. The model is built as part of a discrete-event approach using the theory of queuing systems
Autor:
O. K. Alsova, A.V. Gavrilov
Publikováno v:
Journal of Physics: Conference Series. 1333:032004
The algorithm of the adaptive resonant theory ART-2 is based on the ideas of dynamic clustering and the unsupervised learning model. The classic application of the ART-2 algorithm is related to the solution of pattern recognition problems in the fram
Autor:
O. K. Alsova, M. V. Kraynyuk
Publikováno v:
2016 11th International Forum on Strategic Technology (IFOST).
The paper is focused on systematic research results of synchronous spectral analysis method of stationary random signals. It considers basic algorithms, apply limitations and computational complexity; introduces comparison with currently used periodo
Autor:
O K Alsova, A V Artamonova
Publikováno v:
Journal of Physics: Conference Series. 1015:032008
Publikováno v:
Ifost.
In this paper, we describe structure, features, and application examples of the toolkit for variative forecasting of time series (VarForecasts). A set of original algorithms for identification and forecasting of univariate discrete time series is imp
Publikováno v:
2012 7th International Forum on Strategic Technology (IFOST).
The essence of variative (multivariant) modeling, its bases, variety, and examples of application for identification and forecasting of time series of waterborne infectious diseases are considered.