Prediction of Structural Response for HSSCC Deep Beams Implementing a Machine Learning Approach | Zendy

Mohammad Mohammadhassani | Zendy; Mahdi Zarrini | Zendy; Ehsan Noroozinejad Farsangi | Zendy; Neda Khadem Gerayli | Zendy

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Prediction of Structural Response for HSSCC Deep Beams Implementing a Machine Learning Approach

Author(s) -

Mohammad Mohammadhassani,

Mahdi Zarrini,

Ehsan Noroozinejad Farsangi,

Neda Khadem Gerayli

Publication year - 2018

Publication title -

international journal of coastal and offshore engineering

Language(s) - English

Resource type - Journals

eISSN - 2588-3186

pISSN - 2538-2667

DOI - 10.29252/ijcoe.2.1.35

Subject(s) - deflection (physics) , artificial neural network , structural engineering , test data , computer science , backpropagation , deep learning , correlation coefficient , submarine pipeline , artificial intelligence , engineering , machine learning , geotechnical engineering , optics , physics , programming language

1 *Corresponding Author: Academic Staff of Seismology Engineering & Risk Department, Road, Housing & Urban Development Research Center (BHRC), Tehran, Iran; m.mohammadhasani@bhrc.ac.ir 2 Academic Staff, Islamic Azad University, Astanee-Ashrafiye Branch, Iran 3 Academic Staff, Department of Earthquake Engineering, Graduate University of Advanced Technology, Kerman, Iran Technology management, technology transfer, master of science, transportation research institute, road, housing and urban development research (BHRC), Tehran, Iran

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