An Enhanced Algorithm of RNN Using Trend in Time-Series
The concept of trend in data and a novel neural network method for the forecasting of upcoming time-series data are proposed in this paper. The proposed method extracts two data sets—the trend and the remainder—resulting in two separate learning sets for training. This method wor...
Main Authors: | Dokkyun Yi, Sunyoung Bu, Inmi Kim |
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Format: | Article |
Language: | English |
Published: |
MDPI AG
2019-07-01
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Series: | Symmetry |
Subjects: | |
Online Access: | https://www.mdpi.com/2073-8994/11/7/912 |
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