Estimating the subgrade reaction at deep braced excavation bed in dry granular soil using genetic programming (GP)

Results in Engineering ◽

10.1016/j.rineng.2021.100328 ◽

2021 ◽

pp. 100328

Author(s):

Abdelrahman E. Aboelela ◽

Ahmed M. Ebid ◽

Ayman L. Fayed

Keyword(s):

Genetic Programming ◽

Granular Soil ◽

Subgrade Reaction ◽

Braced Excavation

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A Study on Earth Pressure at Equilibrium and Horizontal Subgrade Reaction Coefficient of an Earth Wall Embedment in Braced Excavation Work on Clayey Soil.

Doboku Gakkai Ronbunshu ◽

10.2208/jscej.1996.534_153 ◽

1996 ◽

pp. 153-172

Author(s):

Hyoji Nakamura ◽

Kenichi Hirashima

Keyword(s):

Clayey Soil ◽

Earth Pressure ◽

Subgrade Reaction ◽

Braced Excavation ◽

Reaction Coefficient ◽

Excavation Work

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Practical Usages of a Neuro-genetic Programming for Short-term Water Level Prediction

International Conference on Biological, Environment and Food Engineering (BEFE-2014) August 4-5, 2014 Bali (Indonesia) ◽

10.15242/iicbe.c814068 ◽

2014 ◽

Keyword(s):

Genetic Programming ◽

Water Level ◽

Water Level Prediction

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Probabilistic Model Building Genetic Programming based on Estimation of Bayesian Network

Transactions of the Japanese Society for Artificial Intelligence ◽

10.1527/tjsai.22.37 ◽

2007 ◽

Vol 22 ◽

pp. 37-47 ◽

Author(s):

Yoshihiko Hasegawa ◽

Hitoshi Iba

Keyword(s):

Genetic Programming ◽

Bayesian Network ◽

Probabilistic Model ◽

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Automatic Generation of English-Japanese Translation Pattern Utilizing Genetic Programming Technique

IEEJ Transactions on Electronics Information and Systems ◽

10.1541/ieejeiss.130.1078 ◽

2010 ◽

Vol 130 (6) ◽

pp. 1078-1088

Author(s):

Koki Matsumura ◽

Yuji Tamekuni ◽

Shuhei Kimura

Keyword(s):

Genetic Programming ◽

Automatic Generation ◽

Programming Technique ◽

Japanese Translation

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Classification of EEG Signals using Genetic Programming

10.26678/abcm.cobem2017.cob17-1839 ◽

2017 ◽

Author(s):

Marco Antonio Meggiolaro ◽

Felipe Rebelo Lopes

Keyword(s):

Genetic Programming ◽

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Universal Consistency and Bloat in GP Some theoretical considerations about Genetic Programming from a Statistical Learning Theory viewpoint

Revue d intelligence artificielle ◽

10.3166/ria.20.805-827 ◽

2006 ◽

Vol 20 (6) ◽

pp. 805-827 ◽

Author(s):

Sylvain Gelly ◽

Olivier Teytaud ◽

Nicolas Bredeche ◽

Marc Schoenauer

Keyword(s):

Genetic Programming ◽

Statistical Learning ◽

Learning Theory ◽

Statistical Learning Theory ◽

Universal Consistency ◽

Theoretical Considerations

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Application of Genetic Programming for Generation of Controllers Represented by Automata

13th IFAC Symposium on Information Control Problems in Manufacturing ◽

10.3182/20090603-3-ru-2001.00113 ◽

2009 ◽

Author(s):

Davydov, Andrey

Keyword(s):

Genetic Programming

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A Study of Crossover Operators in Genetic Programming.

10.21236/ada294071 ◽

1991 ◽

Author(s):

William M. Spears ◽

Vic Anand

Keyword(s):

Genetic Programming

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Genetic Programming-based Phononic Bandgap Structure Design

10.21236/ada553044 ◽

2011 ◽

Author(s):

Raymond A. Wildman ◽

George A. Gazonas

Keyword(s):

Genetic Programming ◽

Structure Design

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Active Learning of Expressive Linkage Rules Using Genetic Programming

SSRN Electronic Journal ◽

10.2139/ssrn.3199077 ◽

2013 ◽

Author(s):

Robert Isele ◽

Christian Bizer

Keyword(s):

Active Learning ◽

Genetic Programming

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