论文标题
深层神经网络和神经模糊网络，用于经济系统的智力分析
Deep Neural Networks and Neuro-Fuzzy Networks for Intellectual Analysis of Economic Systems
论文作者
论文摘要
在论文中，我们考虑了基于深度神经网络和神经模糊网的时间序列预测的方法。此外，我们根据ANFIS模型的各种模型对预测的研究进行了简短的审查。事实证明，深度学习是从复杂的数据源做出高度准确预测的有效方法。另外，我们为此任务提出了DL和Neurouzzy网络的模型。最后，我们显示了将这些模型用于数据科学任务的可能性。本文还概述了将基于规则的方法纳入深度学习神经网络中的方法。
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.
