The deformation monitoring of foundation pit by back propagation neural network and genetic algorithm and its application in geotechnical engineering

The objective is to improve the prediction accuracy of foundation pit deformation in geotechnical engineering, thereby provide early warning for engineering practice. The digital close-range photogrammetry is used to obtain monitoring data. The error compensation method is used to optimize the cente...

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Veröffentlicht in:	PloS one Jg. 15; H. 7; S. e0233398
Hauptverfasser:	Luo, Jie, Ren, Ran, Guo, Kangde
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States Public Library of Science 01.07.2020 Public Library of Science (PLoS)
Schlagworte:	Accuracy Algorithms Artificial intelligence Artificial neural networks Back propagation Biology and Life Sciences Civil engineering Computer and Information Sciences Deformation Displacement Engineering Engineering and Technology Error compensation Genetic algorithms Genetics Geology Geotechnical engineering Geotechnology Mathematical models Monitoring Neural networks Neural Networks, Computer Photogrammetry Physical Sciences Prediction models Regression models Research and Analysis Methods Root-mean-square errors Support vector machines Time domain analysis Training Wages & salaries China Macao
ISSN:	1932-6203, 1932-6203
Online-Zugang:	Volltext
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