Title :
Applications of ANNs in Geotechnical Engineering
Author :
Xiangjun, Chen ; Zhanfeng, Gao
Author_Institution :
Shijiazhuang Railway Inst., Shijiazhuang
Abstract :
Artificial neural networks (ANNs) were developed very quickly and applied very widely in recent years due to their strong ability to solve the nonlinear problems. The artificial neural network-based method was also widely applied to the geotechnical engineering. The complexity of the geotechnical engineering problems because of the strong nonlinear relationship between knows and unknowns of the problems can be mapped very well by artificial neural networks. Researches on the application of artificial neural network in geotechnical engineering are reviewed and appraised in this paper. All the networks mentioned are trained with the back-propagation algorithm which is widely used by a great number of researchers. Research reveals that the method is feasible and it will be interested for more geotechnical engineers.
Keywords :
backpropagation; neural nets; structural engineering computing; ANN applications; artificial neural networks; back-propagation algorithm; geotechnical engineering; Appraisal; Artificial neural networks; Feedforward neural networks; Instruments; Neural networks; Neurons; Rail transportation; Railway engineering; Sorting; Uncertainty; Artificial neural network; BP algorithm; geotechnical engineering;
Conference_Titel :
Electronic Measurement and Instruments, 2007. ICEMI '07. 8th International Conference on
Conference_Location :
Xi´an
Print_ISBN :
978-1-4244-1136-8
Electronic_ISBN :
978-1-4244-1136-8
DOI :
10.1109/ICEMI.2007.4351003