Network-Based Layered Architecture for Long-Term Prediction
In time series forecasting, a challenging and important task is to realize long-term prediction. This paper proposes a layered architecture based on backpropagation neural network. The proposed layered architecture consists of two layers. The first layer can find the optimum number of past time wind...
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| Published in | IEEE access Vol. 8; pp. 18252 - 18257 |
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| Main Authors | , , |
| Format | Journal Article |
| Language | English |
| Published |
Piscataway
IEEE
2020
The Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
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| Abstract | In time series forecasting, a challenging and important task is to realize long-term prediction. This paper proposes a layered architecture based on backpropagation neural network. The proposed layered architecture consists of two layers. The first layer can find the optimum number of past time windows, and the second layer implements long-term prediction based on the obtained optimum number of windows. A series of experiments using publicly time series are conducted to assess the performance of the proposed architecture. The experimental results have revealed that the architecture has better performance in accuracy and stability. |
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| AbstractList | In time series forecasting, a challenging and important task is to realize long-term prediction. This paper proposes a layered architecture based on backpropagation neural network. The proposed layered architecture consists of two layers. The first layer can find the optimum number of past time windows, and the second layer implements long-term prediction based on the obtained optimum number of windows. A series of experiments using publicly time series are conducted to assess the performance of the proposed architecture. The experimental results have revealed that the architecture has better performance in accuracy and stability. |
| Author | Zhao, Jinxing Lin, Kai Wang, Weina |
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| SubjectTerms | Back propagation Back propagation networks Backpropagation Forecasting layered architecture Long-term prediction neural network Neural networks Predictive models STEM Time series Time series analysis Training data Windows (intervals) |
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| Title | Network-Based Layered Architecture for Long-Term Prediction |
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