A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming

Prompt and accurate precipitation forecast is very important for development management of regional water resource, flood disaster prevention and people's daily activity and production plan; however, non-linear and nonstationary characteristics of precipitation data and noise seriously affect f...

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Veröffentlicht in:	arXiv.org 2019-04
Hauptverfasser:	Li, Hongya, Peng, Yuzhong, Deng, Chuyan, Pan, Yonghua, Gong, Daoqing, Zhang, Hao
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Atmospheric models Computer simulation Feature extraction Flood forecasting Flood management Gene expression Mathematical models Neural networks Noise reduction Precipitation Programming Regional development Regression analysis Resource management Water resources Wavelet analysis Weather forecasting
Online-Zugang:	Volltext
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