Prediction of Coefficient of Consolidation Using Multi-Gene Genetic Programming

Shivpreet Sharma; Anil Kumar Mishra; Bimlesh Kumar

doi:10.1007/s41403-019-00075-9

Prediction of Coefficient of Consolidation Using Multi-Gene Genetic Programming

INAE Letters ◽

10.1007/s41403-019-00075-9 ◽

2019 ◽

Vol 4 (3) ◽

pp. 173-179

Author(s):

Shivpreet Sharma ◽

Anil Kumar Mishra ◽

Bimlesh Kumar

Keyword(s):

Genetic Programming ◽

Coefficient Of Consolidation

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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 ◽

Short Term ◽

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 ◽

Cited By ~ 3

Author(s):

Yoshihiko Hasegawa ◽

Hitoshi Iba

Keyword(s):

Genetic Programming ◽

Bayesian Network ◽

Probabilistic Model ◽

Model Building

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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 ◽

Eeg Signals

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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 ◽

Cited By ~ 7

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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ESTIMATION OF THE COEFFICIENT OF CONSOLIDATION BY USED CPT AND HIS VERIFICATION WITH NUMERICAL MODEL

GEOLINKS 2019 Conference Proceedings Book 3 Volume 1 ◽

10.32008/geolinks2019/b3/v1/27 ◽

2019 ◽

Author(s):

Marian Drusa

Keyword(s):

Numerical Model ◽

Coefficient Of Consolidation

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A Study of Crossover Operators in Genetic Programming.

10.21236/ada294071 ◽

1991 ◽

Cited By ~ 8

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 ◽

Cited By ~ 1

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 ◽

Cited By ~ 5

Author(s):

Robert Isele ◽

Christian Bizer

Keyword(s):

Active Learning ◽

Genetic Programming

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