المقتنيات: Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

This study is aimed to predict the behaviour of channel shear connectors in composite floor systems at different temperatures. For this purpose, a soft computing approach is adopted. Two novel intelligence methods, including an Extreme Learning Machine (ELM) and a Genetic Programming (GP), are devel...

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محفوظ في:

التفاصيل البيبلوغرافية
المؤلفون الرئيسيون:	Shariati, Mahdi, Mafipour, Mohammad Saeed, Mehrabi, Peyman, Zandi, Yousef, Dehghani, Davoud, Bahadori, Alireza, Shariati, Ali, Nguyen, Thoi Trung, Salih, Musab N. A., Shek, Poi Ngian
التنسيق:	مقال
منشور في:	Techno Press 2019
الموضوعات:	TA Engineering (General). Civil engineering (General)
الوصول للمادة أونلاين:	http://eprints.utm.my/id/eprint/88451/ http://dx.doi.org/10.12989/scs.2019.33.3.319
الوسوم:	إضافة وسم لا توجد وسوم, كن أول من يضع وسما على هذه التسجيلة!

الانترنت

http://eprints.utm.my/id/eprint/88451/
http://dx.doi.org/10.12989/scs.2019.33.3.319

Application of Extreme Learning Machine (ELM) and Genetic Programming (GP) to design steel-concrete composite floor systems at elevated temperatures

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