The 8th International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018)

Time Series and Data Analysis Based on Hybrid models of Deep Neural Networks and Neuro-Fuzzy Networks

13 Sept 2018, 17:15

15m

406A

Sectional reports 11. Big data Analytics, Machine learning 11. Big data Analytics, Machine learning

Speakers

Dr Alexey Averkin (Plekhanov Russian University of Economics)Mr Sergey Yarushev (Plekhanov Russian University of Economics)

Description

In this paper we consider approach to data analysis and time series forecasting based on hybrid models. This models contains a Deep NN models and Neuro-Fuzzy networks. We are show an overview of new approaches for data science field - time series and data analysis. Also, we propose our models of DL and Neuro-Fuzzy Networks for this task. Finally we show possibility of using this models for data science tasks.

Presentation materials

Slides

AverkinGrid2018new.pdf