Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems

Alexey Averkin and Sergey Yarushev

Papers from arXiv.org

Abstract: In tis paper we consider approaches for time series forecasting based on deep neural networks and neuro-fuzzy nets. Also, we make short review of researches in forecasting based on various models of ANFIS models. Deep Learning has proven to be an effective method for making highly accurate predictions from complex data sources. Also, we propose our models of DL and Neuro-Fuzzy Networks for this task. Finally, we show possibility of using these models for data science tasks. This paper presents also an overview of approaches for incorporating rule-based methodology into deep learning neural networks.

Date: 2020-11
New Economics Papers: this item is included in nep-big, nep-cmp and nep-for
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Persistent link: https://EconPapers.repec.org/RePEc:arx:papers:2011.05588

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