Research on application of neural networks based on rough set in earthquake prediction

Xiaona Dong; Yiliang Guan; Haitao Yin; Huifeng Zhang

doi:10.1117/12.2637053

15 June 2022 Research on application of neural networks based on rough set in earthquake prediction

Xiaona Dong, Yiliang Guan, Haitao Yin, Huifeng Zhang

Proceedings Volume 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022); 1228503 (2022) https://doi.org/10.1117/12.2637053
Event: International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 2022, Zhuhai, China

Abstract

This paper selected Earthquake Cases in China as the sample set and proposed a neural network model based on a rough set to realize automatic selection of core abnormal indicators by rough set attribute reduction algorithm then built a neural network model with strong generalization ability to simulate the uncertain relationship between anomalies and earthquakes. The results showed that the magnitude difference was between -0.5 and 0.5, which met the requirement of earthquake prediction accuracy. It could be seen that the model is effective in earthquake prediction research

Citation Download Citation

Xiaona Dong, Yiliang Guan, Haitao Yin, and Huifeng Zhang "Research on application of neural networks based on rough set in earthquake prediction", Proc. SPIE 12285, International Conference on Advanced Algorithms and Neural Networks (AANN 2022), 1228503 (15 June 2022); https://doi.org/10.1117/12.2637053

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