Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations

@article{Shiri2011ComparisonOG,
  title={Comparison of genetic programming with neuro-fuzzy systems for predicting short-term water table depth fluctuations},
  author={Jalal Shiri and {\"O}zg{\"u}r Kisi},
  journal={Computers & Geosciences},
  year={2011},
  volume={37},
  pages={1692-1701}
}
This paper investigates the ability of genetic programming (GP) and adaptive neuro-fuzzy inference system (ANFIS) techniques for groundwater depth forecasting. Five different GP and ANFIS models comprising various combinations of water table depth values from two stations, Bondville and Perry, are developed to forecast one-, twoand three-day ahead water table depths. The root mean square errors (RMSE), scatter index (SI), Variance account for (VAF) and coefficient of determination (R… CONTINUE READING
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