Abstract
In this paper, we discuss the results of research on the optimization modeling of ground motion attenuation in the subduction zone of the model Youngs et al. [1] using two methods: the Levenberg-Marquard and Bruce-Force method. This modeling is particularly important in the case of seismicity. Given that it takes a good model for predicting the strength of earthquakes in order to reduce the risk of the impact of natural disasters. Two major contributions of this study are ground motion attenuation model specific to the subduction zone that has been optimized with the Levenberg-Marquard method and Bruce-Force uses a model Youngs et al. [1] and a proof that the Levenberg-Marquard method for optimization model is better than Bruce-Force method. The Levenberg-Marquardt method has been proven to provide more accurate results on the modeling of ground motion attenuation which is indicated by a very small deviation between the values of PGA predictable results with the PGA actual values.
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Acknowledgments
We gratefully acknowledge the support of institutions in the implementation of this research. Many thanks to the national meteorological, climatology and geophysical agency (BMKG), Jakarta, Indonesia, which supported the availability of data for testing and data validation. We also thank the research and technology transfer office (RTTO) of Bina Nusantara University, which provided internal funding for the research until the publication of this article.
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Irwansyah, E., Kanigoro, B., Budiman, P., Bekti, R.D. (2018). Earthquake Ground Motion Attenuation Modeling Using Levenberg-Marquardt and Brute-Force Method. In: Silhavy, R., Silhavy, P., Prokopova, Z. (eds) Applied Computational Intelligence and Mathematical Methods. CoMeSySo 2017. Advances in Intelligent Systems and Computing, vol 662. Springer, Cham. https://doi.org/10.1007/978-3-319-67621-0_26
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