This repository contains data and source code of the research that was puplished in the following article:
Fadeev V.A., Zaidullin S.V., Nadeev A.F. (2022). Investigation of the Bayesian and non-Bayesian time series forecasting framewo rks in appli-cation to OSS systems of the LTE/LTE-A and 5G mobile networks. T-Comm, vol. 16, no.4, pр. 52-60.
For better visualization use the following link:
E_RAB_SETUP_FR.ipynb (NBViewer - Jupyter Notebook)
If local usage is preferable but Jupyter is not locally installed, use the docker-compose to run application (some problems may occur in MacOS, unfortunately).
I guess, the following material:
Predictive Analytics: Time-Series Forecasting with GRU and BiLSTM in TensorFlow
can be uses as an example for the next student research projects.
M.Sc. Vladimir Fadeev Kazan, 2022