Software Package for Identification and Processing of Multidimensional Time Series by Spline Functions

Authors

  • Jumanov Isroil Ibragimovich Doctor of Technical Sciences, Professor, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan
  • Djuraev Botir Abdusalyamovich Graduate student, Department of Information Technologies, Samarkand State University, Samarkand, Uzbekistan

Keywords:

Time Series, Non-Stationarity, Identification, Neural Network

Abstract

Constructive approaches, principles, new methods are proposed to ensure timely and efficient transformation and processing of large volumes of non-stationary time series based on the use of neural networks. Algorithms and software tools for restoring time series and training neural networks for modeling by methods of spline functions have been developed and implemented.

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Published

2022-03-14

Issue

Vol. 4 (2022): EJET

Section

Articles

License

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

How to Cite

Software Package for Identification and Processing of Multidimensional Time Series by Spline Functions. (2022). Eurasian Journal of Engineering and Technology, 4, 22-25. https://geniusjournals.org/index.php/ejet/article/view/756