Research on Precipitation Forecast Based on LSTM–CP Combined Model
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- Chang, Zihan & Zhang, Yang & Chen, Wenbo, 2019. "Electricity price prediction based on hybrid model of adam optimized LSTM neural network and wavelet transform," Energy, Elsevier, vol. 187(C).
- Øivind Hodnebrog & Gunnar Myhre & Piers M. Forster & Jana Sillmann & Bjørn H. Samset, 2016. "Local biomass burning is a dominant cause of the observed precipitation reduction in southern Africa," Nature Communications, Nature, vol. 7(1), pages 1-8, September.
- Granata, Francesco & Di Nunno, Fabio, 2021. "Forecasting evapotranspiration in different climates using ensembles of recurrent neural networks," Agricultural Water Management, Elsevier, vol. 255(C).
- Fatemeh Barzegari Banadkooki & Mohammad Ehteram & Ali Najah Ahmed & Chow Ming Fai & Haitham Abdulmohsin Afan & Wani M. Ridwam & Ahmed Sefelnasr & Ahmed El-Shafie, 2019. "Precipitation Forecasting Using Multilayer Neural Network and Support Vector Machine Optimization Based on Flow Regime Algorithm Taking into Account Uncertainties of Soft Computing Models," Sustainability, MDPI, vol. 11(23), pages 1-21, November.
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Keywords
precipitation forecast; long short-term memory network; Chebyshev polynomial; BP neural network;All these keywords.
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