A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest-Reference-Cited by-同舟云学术

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A novel hybrid surrogate intelligent model for creep index prediction based on particle swarm optimization and random forest

Published:2020-02 Issue: Volume:265 Page:105328
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Zhang Pin,Yin Zhen-Yu,Jin Yin-Fu,Chan Tommy H.T.

Funder

Research Grants Council (RGC) of Hong Kong Special Administrative Region Government (HKSARG) of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference77 articles.

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2. Bagging predictors;Breiman;Mach. Learn.,1996

3. Random forests;Breiman;Mach. Learn.,2001

4. Classification and regression trees (CART);Breiman;Encyclopedia of Ecology,1984

5. Triaxial behavior of sand–mica mixtures using genetic programming;Cabalar;Expert Syst. Appl.,2011

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