Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming

@article{DanialMohammadzadeh2016DerivingAI,
  title={Deriving an intelligent model for soil compression index utilizing multi-gene genetic programming},
  author={S DanialMohammadzadeh and Jafar Bolouri Bazaz and S. H. Vafaee Jani Yazd and Amir Hossein Alavi},
  journal={Environmental Earth Sciences},
  year={2016},
  volume={75},
  pages={1-11}
}
Multi-gene genetic programming (MGGP) is a new nonlinear system modeling approach that integrates the capabilities of standard GP and classical regression. This paper deals with the prediction of compression index of fine-grained soils using this robust technique. The proposed model relates the soil compression index to its liquid limit, plastic limit and void ratio. Several laboratory test results for fine fine-grained were used to develop the models. Various criteria were considered to check… CONTINUE READING

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