Stability Assessment of Rubble Mound Breakwaters Using Extreme Learning Machine Models

Journal of Marine Science and Engineering

Xingnian Liu¹  Xianglong Wei¹  Huaixiang Liu²  Siping Mo²  Xiaojian She²  Yongjun Lu² 

[1] State Key Laboratory of Hydraulics and Mountain River Engineering, College of Water Resource and Hydropower, Sichuan University, Chengdu 610065, China;State Key Laboratory of Hydrology-Water Resources and Hydraulic Engineering, Nanjing Hydraulic Research Institute, Nanjing 210029, China;

关键词: breakwater;    extreme learning machine;    stability assessment;    machine learning;   

DOI  :  10.3390/jmse7090312

来源: DOAJ

【 摘 要 】

The stability number of a breakwater can determine the armor unit’s weight, which is an important parameter in the breakwater design process. In this paper, a novel and simple machine learning approach is proposed to evaluate the stability of rubble-mound breakwaters by using Extreme Learning Machine (ELM) models. The data-driven stability assessment models were built based on a small size of training samples with a simple establishment procedure. By comparing them with other approaches, the simulation results showed that the proposed models had good assessment performances. The least user intervention and the good generalization ability could be seen as the advantages of using the stability assessment models.

【 授权许可】

Unknown