Pouyan Fakharian

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Pouyan Fakharian received his B.Sc. and M.Sc. degrees in Civil and Structural Engineering from Semnan University. He is currently pursuing his Ph.D. degree in Structural Engineering and is working on the reliability of structures with emphasis on code calibration. Furthermore, he is a professional in the area of application of soft computing in Civil Engineering. Pouyan serves as deputy editor in two international peer-reviewed journals of Journal of Soft Computing in Civil Engineering (Scopus indexed), Computational Engineering and Physical Modeling. Pouyan was awarded the Publons Peer Review Awards of 2018 for being placed in the top 1% of reviewers.

group method of data handling artificial neural network concrete combinatorial algorithm gmdh ferrocement members moment capacity hardened properties self-compacted concrete silica fume (sf) metakaolin back-propagation algorithm cone penetration test clayey soils resilient modulus regression analysis shear strength reinforced concrete shear wall genetic algorithm

Aktivität
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Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

Vor 2 Jahren • 84 Aufrufe

Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Vor 2 Jahren • 93 Aufrufe

Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Pouyan Fakharian • Vor 2 Jahren

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

Pouyan Fakharian • Vor 2 Jahren

Pouyan Fakharian

Dokumente

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP

Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Improving the Properties of Self-compacted Concrete with Using Combined Silica Fume and Metakaolin

A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling

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A new proposed approach for moment capacity estimation of ferrocement members using Group Method of Data Handling

Improving the Properties of Self-compacted Concrete with Using Combined Silica Fume and Metakaolin

Predicting Resilient Modulus of Clayey Subgrade Soils by Means of Cone Penetration Test Results and Back-Propagation Artificial Neural Network

Shear Strength Prediction of Reinforced Concrete Shear Wall Using ANN, GMDH-NN and GEP