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Evolutionary polynomial regression based modelling of clay compressibility using an enhanced hybrid real-coded genetic algorithm

  • Published:2016-08 Issue: Volume:210 Page:158-167
  • ISSN:0013-7952
  • Container-title:Engineering Geology
  • language:en
  • Short-container-title:Engineering Geology

Author:

Yin Zhen-Yu,Jin Yin-Fu,Huang Hong-Wei,Shen Shui-Long

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference57 articles.

1. Neural networks in civil engineering: 1989–2000;Adeli;Comput.-Aided Civ. Infrastruct. Eng.,2001

2. Use of evolutionary polynomial regression (EPR) for prediction of total sediment load of Malaysian rivers;Adilah;Int. J. Eng.,2012

3. A new approach for prediction of the stability of soil and rock slopes;Ahangar-Asr;Eng. Comput.,2010

4. Modeling of permeability and compaction characteristics of soils using evolutionary polynomial regression;Ahangar-Asr;Comput. Geosci.,2011

5. Assessment of bearing capacity and permeability of foundation rocks at the Gumustas Waste Dam Site (NE Turkey) using empirical and numerical analysis;Alemdag;Arab. J. Geosci.,2015

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