Estimation of Tsunami Bore Forces on a Coastal Bridge Using an Extreme Learning Machine
نویسندگان
چکیده
Iman Mazinani 1,*, Zubaidah Binti Ismail 1,*, Shahaboddin Shamshirband 2, Ahmad Mustafa Hashim 3, Marjan Mansourvar 2 and Erfan Zalnezhad 4 1 Department of Civil Engineering, Faculty of Engineering, University of Malaya, Kuala Lumpur 50603, Malaysia 2 Department of Artificial Intelligence, Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur 50603, Malaysia; [email protected] (S.S.); [email protected] (M.M.) 3 Department of Civil and Environmental Engineering, Faculty of Engineering, Universiti Teknologi PETRONAS, Bandar Seri Iskandar 32610, Malaysia; [email protected] 4 Department of Mechanical Convergence Engineering, Hanyang University, 222 Wangsimni-ro, Seongdong-gu, Seoul 133-791, Korea; [email protected] * Correspondence: [email protected] (I.M.); [email protected] (Z.B.I.); Tel.: +60-3-7967-5284 (I.M.); +60-1-2910-6564 (Z.B.I.)
منابع مشابه
Experimental Results of Tsunami Bore Forces on Structures
A series of experiments has been carried out at the Tsunami Wave Basin (TWB) at Oregon State University (OSU) to determine the effect of tsunami bores on coastal and nearshore structures, especially buildings and bridges. The TWB is equipped with a piston-type wavemaker capable of generating clean solitary waves. The facility was used to model tsunami bores breaking over coastal reefs and their...
متن کاملModeling Discharge Coefficient of Side Weir on Converging Channel Using Extreme Learning Machine
In this study, the discharge coefficient of side weirs located on converging channels was simulated for the first time using a new method of Extreme Learning Machine (ELM). To examine the accuracy of the numerical model, the Monte Carlo simulations were used and the experimental values validation was conducted by the k-fold cross validation method. Then, the input parameters were detected for s...
متن کاملExperimental Investigation on Tsunami Acting on Bridges
Two tragic tsunamis that devastated the west coast of Sumatra Island, Indonesia in 2004 and North East Japan in 2011 had damaged bridges to various extents. Tsunamis have resulted in the catastrophic deterioration of infrastructures i.e. coastal structures, utilities and transportation facilities. A bridge structure performs vital roles to enable people to perform activities related to their da...
متن کاملA Hybrid Machine Learning Method for Intrusion Detection
Data security is an important area of concern for every computer system owner. An intrusion detection system is a device or software application that monitors a network or systems for malicious activity or policy violations. Already various techniques of artificial intelligence have been used for intrusion detection. The main challenge in this area is the running speed of the available implemen...
متن کاملOutlier Detection Using Extreme Learning Machines Based on Quantum Fuzzy C-Means
One of the most important concerns of a data miner is always to have accurate and error-free data. Data that does not contain human errors and whose records are full and contain correct data. In this paper, a new learning model based on an extreme learning machine neural network is proposed for outlier detection. The function of neural networks depends on various parameters such as the structur...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید
ثبت ناماگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید
ورودعنوان ژورنال:
- Entropy
دوره 18 شماره
صفحات -
تاریخ انتشار 2016