Genetic Programming for Modelling Long-Term Hydrological Time Series

@article{Wang2009GeneticPF,
  title={Genetic Programming for Modelling Long-Term Hydrological Time Series},
  author={Wenchuan Wang and Dongmei Xu and Lin Qiu and Jianqin Ma},
  journal={2009 Fifth International Conference on Natural Computation},
  year={2009},
  volume={4},
  pages={265-269}
}
In recent years, artificial neural networks (ANN) have emerged as a novel identification technique for the forecasting of hydrological time series. However, they represent their knowledge in terms of a weight matrix that is not accessible to human understanding at present. The purpose of this study is to develop a flow prediction method, based on the genetic programming (GP), which is an evolutionary computing method that provides ‘transparent’ and structured system identification. In terms of… CONTINUE READING
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