SOFTWARE SHELL DEVELOPMENT FOR TIME SERIES VALUES PREDICTION BASED ON NEURAL NETWORKS

Authors

DOI:

https://doi.org/10.30890/2567-5273.2018-05-01-055

Keywords:

neural networks, time series, prediction, multilayer perceptron, extrapolation, windowing method, overfitting

Abstract

The article reviews a software that allows to form an arbitrary structure of a multilayer perceptron with the help of which it is possible to predict the time series value. The article reviewed the methodology of the creation of training and test data sam

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References

Гелевера П.С. Применение многослойной нейронной сети для экстраполяции значений уровня ряда // Новосибирск: Издательско-полиграфический центр НГУ, 2018. С. 231.

References:

Gelevera P. S. Using the multilayer neural network for time series value extrapolation // Novosibirsk: Publishing and Printing Center of NSU, 2018. C. 231

Международный научный периодический рецензируемый журнал "Modern engineering and innovative technologies"

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Published

2017-11-15

How to Cite

Гелевера, П., & Оболенцева, Т. (2017). SOFTWARE SHELL DEVELOPMENT FOR TIME SERIES VALUES PREDICTION BASED ON NEURAL NETWORKS. Modern Engineering and Innovative Technologies, 1(05-01), 73–78. https://doi.org/10.30890/2567-5273.2018-05-01-055

Issue

No. 05-01 (2018)

Section

Articles