Artificial Neural Network Methodology for Three-Dimensional Seismic Parameters Attenuation Analysis
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.
KeywordsArtificial Neural Network Radial Basis Function Artificial Neural Network Model Peak Ground Acceleration Back Propagation
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- 1.Zhen, G.F., Tao, X.X.: Construct the Intensity Attenuation Relation Using ANN Method. Earthquake Engineering and Engineering Vibration 13(1), 60–66 (1993)Google Scholar
- 2.Wang, H.S.: Intelligent Prediction of the Peak Seismic Parameters Based On ANN. Journal of Seismology 15(2), 208–216 (1993)Google Scholar
- 3.Cui, J.W., Fan, Y.X., Wen, R.Z.: Establishment of Attenuation Law of Acceleration Peak Value by Using Neural Network. Earthquake Research 20(3), 296–306 (1997)Google Scholar
- 4.Joyner, W.B., Boore, D.M.: Peak Attenuation and Velocity from Strong-Motion Records Including Records from 1979 Imperial Valley, California, Earthquake. Bulletin of Seismology Society of America 71(6), 2011–2038 (1981)Google Scholar
- 5.Huo, J.R.: Near Field Ground Motion Attenuation Research. Ph. D. Thesis of the Institute Of Engineering Mechanics, China Earthquake Administration (1989)Google Scholar
- 6.Wang, G.X., Tao, X.X.: A New Two-Steps Method for Fitting Ground Motion Attenuation Relationship. Earthquake Engineering and Engineering Vibration 20(1), 25–28 (2000)Google Scholar
- 7.Boore, D.M., Joyner, W.B., Fumal, T.E.: Estimation of Response Spectra and Peak Accelerations from North America Earthquakes: an Interim Report. U. S. Geol. Surv. Open File Report, 93–509 (1993)Google Scholar
- 8.Boore, D.M., Joyner, W.B., Fumal, T.E.: Estimation of Response Spectra and Peak Accelerations from North America Earthquakes: Part 2, Interim Report. U. S. Geol. Surv. Open File Report, 94–127 (1994)Google Scholar
- 9.Hu, Y.X., Zhang, Y.M., Shi, Z.L.: Training Material for the Code of Evaluation of Seismic Safety for Engineering Sites. Engineering Earthquake Research Center (1994)Google Scholar