Buchumschlag

Substantiation for Using the Moving Focus Method to Simulate and Predict the Time Series Form

Gespeichert in:

Bibliographische Detailangaben
Datum:	2019
Hauptverfasser:	O. V. Dmytrenko, P. O. Ivashchenko
Format:	Artikel
Sprache:	Englisch
Veröffentlicht:	2019
Schriftenreihe:	Business Inform
Online Zugang:	http://jnas.nbuv.gov.ua/article/UJRN-0001055923
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!
Назва журналу:	Library portal of National Academy of Sciences of Ukraine \| LibNAS

Institution

Library portal of National Academy of Sciences of Ukraine | LibNAS

Ähnliche Einträge

Simulating and Forecasting Periodic Behavior of a Discrete Time Series Using the Moving Average Method
von: O. V. Dmytrenko, et al.
Veröffentlicht: (2019)

Selecting moving objects using time series
von: A. V. Aharkov
Veröffentlicht: (2016)

Combined Autoregressive-Neural Network Method for Predicting Time Series
von: G. A. Kravtsov, et al.
Veröffentlicht: (2020)

Time Use Statistics in the Focus of Gender Studies
von: O. V. Makarova
Veröffentlicht: (2019)

Prediction of mining induced seismicity around moving longwall
von: Babenko, E.V.
Veröffentlicht: (2010)

Focusing of positron bunch when moving in electron bunch wakefield in the dielectric waveguide filled with plasma
von: Sotnikov, G.V., et al.
Veröffentlicht: (2021)

On a problem of numerical simulating the derivative of descrete time series with approximate values
von: E. M. Kiseleva, et al.
Veröffentlicht: (2015)

Prestripping section of the MILAC accelerator based on the principle of alternating-phase focusing with the moving bunch center
von: Bomko, V.A., et al.
Veröffentlicht: (1999)

Numerical simulation of flows around unsteady moving bodies
von: Ja. V. Zagumennyj, et al.
Veröffentlicht: (2018)

Forecasting the Dynamics of Stockbreeding Development Using Time Series
von: A. B. Kulyk
Veröffentlicht: (2024)

Simulations of wide-aperture ion beam focusing by the plasma lens formed by a magnetic coil and system of electrodes
von: Butenko, V.I., et al.
Veröffentlicht: (2000)

A method of preliminary forecasting of time series of financial data
von: A. D. Shatashvili, et al.
Veröffentlicht: (2020)

On the time series support vector machine using dynamic time warping kernel for brain activity classification
von: Chaovalitwongse, W.A., et al.
Veröffentlicht: (2008)

Forecast of time series using their segmentation based on wavelet analysis of scalogram
von: Voloshko, A. V., et al.
Veröffentlicht: (2016)

Prediction of the melting time of complex ferroalloys by the method of physical and chemical modeling
von: A. F. Petrov, et al.
Veröffentlicht: (2019)

On phenomenological models and seismic activity prediction: whether pessimism is legitimate or hopes are substantiated
von: V. N. Shuman
Veröffentlicht: (2013)

Development of methods for restoring missing values and forecasting of mutually dependent time series
von: E. V. Bratus, et al.
Veröffentlicht: (2017)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: Biblik, Irina V., et al.
Veröffentlicht: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: Biblik, Irina V., et al.
Veröffentlicht: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: I. V. Biblik, et al.
Veröffentlicht: (2018)

Prediction of Flow Accelerated Corrosion of NPP Pipeline Elements by Network Simulation Method
von: Biblik, I.V., et al.
Veröffentlicht: (2018)

Simulation of regimes in the pulse-forming lines by operator method
von: Chumakov, V.I., et al.
Veröffentlicht: (2018)

Substantiation of the calculation methods of the nitrogen removing (nitrification) in bioreactors with using on the biofilm models
von: Ya. Oliinyk, et al.
Veröffentlicht: (2021)

Extrapolation forecasting on base of time series data with using of situational and inductive models
von: D. V. Stefanyshyn
Veröffentlicht: (2016)

Use of time series models to forecast the evolution of corrosion pit in steel rebars
von: Xu Yidong
Veröffentlicht: (2016)

Substantiation of the calculation methods of the nitrogen removing (nitrification) in bioreactors with using on the biofilm models
von: Oliynyk, Oleksandr Ya., et al.
Veröffentlicht: (2021)

The Methodical Support of Substantiation for Technology Transfer
von: I. M. Kornilova, et al.
Veröffentlicht: (2019)

Diagnostics of the structural-mechanical state of steam pipeline steels by coercive-metric method and prediction of their life time
von: O. P. Ostash, et al.
Veröffentlicht: (2013)

To the problem of substantiation of New and the Newest time literature integral being
von: E. H. Shestakova
Veröffentlicht: (2007)

Substantiating a technique to process hard rock involving extraction of valuable components and use of wastes to form mesorelief
von: K. V. Babii, et al.
Veröffentlicht: (2019)

Modeling and Forecasting Ukraine&#039;s Population by Time Series Using the Matlab Econometrics Toolbox
von: K. O. Kovalova, et al.
Veröffentlicht: (2019)

Robust Adaptive Identification of Non-Stationary Time Series Using Ensemble of Tuning Hybrid Adaptive Models
von: E. V. Bodjanskij, et al.
Veröffentlicht: (2016)

Moving Coordinates in Electromagnetic Field of Devices with Moving Conductors
von: Ja. Konovalov, et al.
Veröffentlicht: (2016)

Simulation of plasma wakefield focusing and self-focusing of a short sequence of electron bunches depending on the bunch length, shape and distance between bunches
von: Bondar, D.S., et al.
Veröffentlicht: (2022)

Substantiation of the predictive volumes of energy saving potential in the enlarged sectors of economy with regard for technological and structural changes
von: Maliarenko O.Ye., et al.
Veröffentlicht: (2016)

On Method of Autonomic Determination of Longitude and Latitude of Moving Object
von: V. V. Avrutov, et al.
Veröffentlicht: (2021)

The Holy Trinity Monastery in Chernihiv at the Beginning of the Soviet Time: Focus of Expanse Crossing
von: I. Nepotenko
Veröffentlicht: (2018)

Forecasting techniques based on the use of time series models for forecasting expenditures on social protection and social security
von: Zarudnyi, O., et al.
Veröffentlicht: (2024)

Forecasting techniques based on the use of time series models for forecasting expenditures on social protection and social security
von: O. Zarudnyi, et al.
Veröffentlicht: (2024)

Estimate of time series similarity based on models
von: T. V. Knignitskaja
Veröffentlicht: (2019)