Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model

Research on Annual Runoff Prediction Based on EMD-LSTM-ANFIS Model

To improve the accuracy of runoff prediction,this paper proposes a runoff prediction model based on the combination of empirical mode decomposition (EMD),long short-term memory (LSTM) neural network,and adaptive neuro-fuzzy inference system (ANFIS),decomposes the original runoff sequence into multip...

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Bibliographic Details
Main Authors: HU Shunqiang, CUI Dongwen
Format: Article
Language:zho
Published: Editorial Office of Pearl River 2021-01-01
Series:Renmin Zhujiang
Subjects:
runoff prediction
empirical mode decomposition
long-short term memory neural network
adaptive neuro-fuzzy inference system
phase space reconstruction
Online Access:http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.03.007
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http://www.renminzhujiang.cn/thesisDetails#10.3969/j.issn.1001-9235.2021.03.007

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