The application of artificial neural network in geotechnical engineering

2018 International Conference on Civil and Hydraulic Engineering

土木建筑工程;水利工程

Chao, Zhiming^1 ; Ma, Guotao^1,2,3 ; Zhang, Ye^2 ; Zhu, Yanjie^2 ; Hu, Hengyang^4

Chengdu Derek Super-computational Technology Co. Ltd, Chengdu, Sichuan

610000, China^1

School of Engineering, University of Warwick, Coventry

CV4 7AL, United Kingdom^2

Faculty of Geoscience and Environmental Engineering, Southwest Jiaotong University, Chengdu, Sichuan

610031, China^3

Southwest Subsidiary Company of China Airport Construction Group Corporation, Chengdu, Sichuan

610202, China^4

关键词: ANN algorithm;    Basic principles;    Human brain;    Machine learning techniques;    Physiological structures;    Real values;    Rock mass;    Stability of slopes;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/189/2/022054/pdf
DOI  :  10.1088/1755-1315/189/2/022054

学科分类：土木及结构工程学

来源: IOP

【 摘 要 】

The artificial neural network (ANN) is a machine learning technique, which can simulate the physiological structure and mechanism of human brain. The study aims to review the principles of ANN algorithm and their application in geotechnical engineering. Firstly, the basic principles of ANN algorithm are introduced. Secondly, the application of ANN algorithm is presented. The review suggests that ANN can classify soil accurately, and it is able to group rock mass, predict the stability of slopes exactly, which could be used for risk assessment. The predicted settlement that is generated by ANN is near real value.