• Corpus ID: 195316902

A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming

@article{Li2019AHP,
  title={A Hybrid Precipitation Prediction Method based on Multicellular Gene Expression Programming},
  author={Hongyan Li and Yuzhong Peng and Chuyan Deng and Yonghua Pan and Daoqing Gong and Hao Zhang},
  journal={ArXiv},
  year={2019},
  volume={abs/1906.08852}
}
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 forecast accuracy. [...] Key Result Comparative result for simulation experiment with actual precipitation data in Zhengzhou, Nanning and Melbourne in Australia indicated that: fitting and forecasting performance of…Expand
1 Citations
Precipitation Modeling and Prediction Based on Fuzzy-Control Multi-cellular Gene Expression Programming and Wavelet Transform
TLDR
A Fuzzy-control Multi-cellular Gene Expression Programming algorithm (FMC-GEP), which used fuzzy control theory to dynamically adjust the probability of genetic manipulation and outperforms other existing prediction algorithms including BP neural network, support vector regression and Gene Expression programming.

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