Loading...
Please wait, while we are loading the content...
Similar Documents
A prediction model for local scour depth based on BP and GA-BP neural network
| Content Provider | Scilit |
|---|---|
| Author | Dong, Haiyang Chong, Lin Zhou, Hanyu Li, Zongyu |
| Copyright Year | 2020 |
| Description | Journal: Iop Conference Series: Earth and Environmental Science A prediction model for the local scouring depth at bridge piers is built using BP and GA-BP neural network method. Measured data is collected from laboratory tests and field observation to work as train set of the predicting model which is verified by the measured data of Hangzhou Bay Bridge. The result shows that the predicted values of the local scour depth of the piers obtained by the two models are in good agreement with the measured values, which is more suitable than the existing general formula. What’s more, GA-BP model performs better than BP model. |
| Related Links | https://iopscience.iop.org/article/10.1088/1755-1315/525/1/012005/pdf |
| ISSN | 17551307 |
| e-ISSN | 17551315 |
| DOI | 10.1088/1755-1315/525/1/012005 |
| Journal | Iop Conference Series: Earth and Environmental Science |
| Issue Number | 1 |
| Volume Number | 525 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-06-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Earth and Environmental Science Marine Engineering Prediction Model Local Scour Depth |
| Content Type | Text |
| Resource Type | Article |
| Subject | Earth and Planetary Sciences Physics and Astronomy Environmental Science |
