Retraction Note to: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming

Neural Computing and Applications ◽

10.1007/s00521-020-05155-4 ◽

2020 ◽

Vol 32 (23) ◽

pp. 17811-17811

Author(s):

Ali Nazari

Keyword(s):

Gene Expression ◽

Pore Volume ◽

Gene Expression Programming ◽

Specific Pore Volume

Download Full-text

RETRACTED ARTICLE: Predicting the total specific pore volume of geopolymers produced from waste ashes by gene expression programming

Neural Computing and Applications ◽

10.1007/s00521-012-1135-7 ◽

2012 ◽

Vol 31 (S2) ◽

pp. 751-757 ◽

Author(s):

Ali Nazari

Keyword(s):

Gene Expression ◽

Pore Volume ◽

Gene Expression Programming ◽

Specific Pore Volume ◽

Retracted Article

Download Full-text

Closure to “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Journal of Pipeline Systems Engineering and Practice ◽

10.1061/(asce)ps.1949-1204.0000533 ◽

2021 ◽

Vol 12 (2) ◽

pp. 07021002

Author(s):

Mohammad Najafzadeh ◽

Ali Reza Kargar

Keyword(s):

Gene Expression ◽

Polynomial Regression ◽

Gene Expression Programming ◽

Local Scour ◽

Scour Depth ◽

Evolutionary Polynomial Regression ◽

Download Full-text

Discussion of “Gene-Expression Programming, Evolutionary Polynomial Regression, and Model Tree to Evaluate Local Scour Depth at Culvert Outlets” by Mohammad Najafzadeh and Ali Reza Kargar

Journal of Pipeline Systems Engineering and Practice ◽

10.1061/(asce)ps.1949-1204.0000532 ◽

2021 ◽

Vol 12 (2) ◽

pp. 07021001

Author(s):

Manish Pandey ◽

H. Md Azamathulla

Keyword(s):

Gene Expression ◽

Polynomial Regression ◽

Gene Expression Programming ◽

Local Scour ◽

Scour Depth ◽

Evolutionary Polynomial Regression ◽

Download Full-text

APPLICATION OF GENE EXPRESSION PROGRAMMING FOR ESTIMATING TOTAL EMISSIVITY OF H2O-CO2 MIXTURES IN AIR-FUEL COMBUSTION WITHOUT SOOT FORMATION

Computational Thermal Sciences An International Journal ◽

10.1615/computthermalscien.2015011633 ◽

2015 ◽

Vol 7 (3) ◽

pp. 191-215

Author(s):

Babak Maghbooli ◽

Hamidreza Najafi ◽

Mohammad Amin Sobati

Keyword(s):

Gene Expression ◽

Soot Formation ◽

Gene Expression Programming ◽

Fuel Combustion ◽

Total Emissivity

Download Full-text

Gene Expression Programming Evolution Difficulty Prediction Based on Posture Model

Journal of Software ◽

10.3724/sp.j.1001.2011.03768 ◽

2011 ◽

Vol 22 (5) ◽

pp. 899-913 ◽

Author(s):

Jiao-Ling ZHENG ◽

Chang-Jie TANG ◽

Kai-Kuo XU ◽

Ning YANG ◽

Lei DUAN ◽

...

Keyword(s):

Gene Expression ◽

Gene Expression Programming

Download Full-text

Modeling Self-reported Instrument Data with Gene Expression Programming

Acta Psychologica Sinica ◽

10.3724/sp.j.1041.2013.00704 ◽

2013 ◽

Vol 45 (6) ◽

pp. 704-714

Author(s):

Jinxin QIAN ◽

Jiayuan YU

Keyword(s):

Gene Expression ◽

Gene Expression Programming

Download Full-text

Cellular gene expression programming algorithm based on stack decoding method

Journal of Computer Applications ◽

10.3724/sp.j.1087.2009.03280 ◽

2010 ◽

Vol 29 (12) ◽

pp. 3280-3282

Author(s):

Liu YANG ◽

Pei HE ◽

Xiao-hai PAN

Keyword(s):

Gene Expression ◽

Gene Expression Programming ◽

Programming Algorithm ◽

Cellular Gene ◽

Cellular Gene Expression

Download Full-text

Gene expression programming algorithm based on multi-threading evaluator

Journal of Computer Applications ◽

10.3724/sp.j.1087.2012.00986 ◽

2013 ◽

Vol 32 (4) ◽

pp. 986-989

Author(s):

Sheng-qiao NI ◽

Chang-jie TANG ◽

Ning YANG ◽

Jie ZUO

Keyword(s):

Gene Expression ◽

Gene Expression Programming ◽

Programming Algorithm

Download Full-text

A Hybrid Logistic Regression: Gene Expression Programming Model and Its Application to Mineral Prospectivity Mapping

Natural Resources Research ◽

10.1007/s11053-021-09918-1 ◽

2021 ◽

Author(s):

Fan Xiao ◽

Weilin Chen ◽

Jun Wang ◽

Oktay Erten

Keyword(s):

Gene Expression ◽

Logistic Regression ◽

Programming Model ◽

Gene Expression Programming ◽

Mineral Prospectivity Mapping ◽

Mineral Prospectivity ◽

Prospectivity Mapping

Download Full-text

A comparative application of the Buckingham π (pi) theorem, white-box ANN, gene expression programming, and multilinear regression approaches for blast-induced ground vibration prediction

Arabian Journal of Geosciences ◽

10.1007/s12517-021-07391-x ◽

2021 ◽

Vol 14 (12) ◽

Author(s):

Abiodun Ismail Lawal ◽

Seun Isaiah Olajuyi ◽

Sangki Kwon ◽

Moshood Onifade

Keyword(s):

Gene Expression ◽

Gene Expression Programming ◽

Ground Vibration ◽

Multilinear Regression ◽

Vibration Prediction ◽

Download Full-text