Data on evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements-Reference-Cited by-同舟云学术

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Data on evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements

Published:2020-12 Issue: Volume:33 Page:106432
ISSN:2352-3409
Container-title:Data in Brief
language:en
Short-container-title:Data in Brief

Author:

Zhang Kun,Lyu Hai-Min^ORCID,Shen Shui-Long^ORCID,Zhou Annan^ORCID,Yin Zhen-Yu^ORCID

Funder

Shantou University

Publisher

Elsevier BV

Subject

Multidisciplinary

Reference3 articles.

1. Evolutionary hybrid neural network approach to predict shield tunneling-induced ground settlements;Zhang;Tunnel. Undergr. Space Technol.,2020

2. Principal component analysis;Wold;Chemometr. Intell. Lab. Syst.,1987

3. Modeling the relationship between ground surface settlements induced by shield tunneling and the operational and geological parameters based on the hybrid PCA/ANFIS method;Bouayad;Tunnel. Undergr. Space Technol.,2017

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