Name
Title | ||
|---|---|---|
Artificial neural network methodology for three-dimensional seismic parameters attenuation analysis |
Abstract | ||
|---|---|---|
With the accumulating of the strong earthquakes records, it becomes practicable to achieve the more accurate attenuation relationships. Based on the seismic records of West American, the Radial Basis Function (RBF) and Back Propagation (BP) artificial neural networks model are respectively constructed for three-dimensional seismic parameters attenuation relationship. The RBF model is nice fitting for the training data, although it has great errors on other tested points. While the BP model is not good than the RBF model for the training data, it possesses a better consecutive property in the whole area. It is a proper neural network model for the problem. After training with the selected records, the Neural Networks (NN) shows a good fitting with the training records. And it is easy to construct three-dimensional model to predict the attenuation relationship. In order to demonstrate the efficiency of the presented methodology, the contrast is discussed for the results of the BP model and three typical traditional attenuation formulae. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11760191_178 | ISNN (2) |
Keywords | Field | DocType |
artificial neural networks model,training data,accurate attenuation relationship,rbf model,attenuation relationship,bp model,typical traditional attenuation formula,attenuation analysis,three-dimensional seismic parameter,proper neural network model,artificial neural network methodology,training record,three-dimensional model,neural network,back propagation,neural network model,artificial neural network,three dimensional,radial basis function | Data modeling,Radial basis function,Seismic analysis,Pattern recognition,Curve fitting,Computer science,Algorithm,Peak ground acceleration,Artificial intelligence,Attenuation,Backpropagation,Artificial neural network | Conference |
Volume | ISSN | ISBN |
3973 | 0302-9743 | 3-540-34482-9 |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ben-yu Liu | 1 | 1 | 1.02 |
| Liao-yuan Ye | 2 | 7 | 1.97 |
| Mei-ling Xiao | 3 | 1 | 1.02 |
| Sheng Miao | 4 | 7 | 1.74 |
| Jing-yu Su | 5 | 6 | 0.85 |