Abstract
Earthquake security evaluating is very important to forecast earthquake, and minimize earthquake damage. In this paper, we propose a novel earthquake security evaluating algorithm by cellular neural network. We introduce nonlinear weight functions based cellular neural network algorithm to evaluate earthquake security by minimizing relative mean square error of a given sample. To validate the effectiveness of our algorithm, we conduct a experiment on 20 samples by seven security evaluating factors. Experimental results show the effectiveness of the proposed algorithm.
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Chang-xian, Z., Shao-peng, Z. (2013). Research on Earthquake Security Evaluating Using Cellular Neural Network. In: Du, Z. (eds) Proceedings of the 2012 International Conference of Modern Computer Science and Applications. Advances in Intelligent Systems and Computing, vol 191. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33030-8_21
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DOI: https://doi.org/10.1007/978-3-642-33030-8_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-33029-2
Online ISBN: 978-3-642-33030-8
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