## 6 Conclusions  
AETA, as a multi-component earthquake detection and prediction system, has been developed independently by the Key Laboratory of Integrated Microsystems (IMS) of Peking University Shenzhen Graduate School. After five years of data acquisition, a large amount of data has been accumulated. This paper constructs several non-time series and time-series models for earthquake prediction based on the feature data extracted from the AETA raw signals. After comparison and analysis, it is confirmed that the LSTM model can achieve the best results for earthquake prediction. Then, the LSTM model is selected for real-earthquake prediction for 16 consecutive weeks. In addition, this paper proposes the method of multi-station softmax-AUC with index weighting to solve the situation that the prediction effect of the same model varies in different stations. This model has placed in the top three of the second AETA earthquake prediction competition. Conceptualization, C.W. and S.Y. ; methodology, C.W. and C.Y. ; software, C.W. and C.L. ; validation, C.W., S.Y. and X.W. ; formal analysis, C.W. ; investigation, C.W. and C.L. ; resources, S.Y. and X.W. ; data curation, C.W., C.L. and C.Y. ; writing--original draft preparation, C.W. ; writing--review and editing, S.Y. and X.W. ; visualization, C.W. and C.L. ; supervision, S.Y. and X.W. ; project administration, S.Y. and X.W. ; funding acquisition, S.Y. and X.W. All authors have read and agreed to the published version of the manuscript. This research was funded by a fundamental research grant from Shenzhen Science and Technology Program, grant number is JCYJ20200109120404043 and Youth Innovation Talent Project of Guangdong Province Universities, grant number is 2021 KQNCX112. Not applicable. \begin{table}
\begin{tabular}{c c c c c} \hline \hline  & **Actual** & **Predicted** & **Actual Epicenter** & **Predicted Epicenter** \\  & **Magnitude** & **Magnitude** & **Actual** & **Epicenter** & **Predicted Epicenter** \\ \hline
1 th week & N & N & N & N \\ (5 April 2021–11 April 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th \\ (12 April 2021–18 April 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th \\ (19 April 2021–25 April 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (4 th week & 26 April 2021–2 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (3 May 2021–9 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (6 th week & 26 April 2021–19 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (10 May 2021–16 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (17 May 2021–23 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (8 th week & 24 May 2021–30 May 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (9 th week & 25 May 2021–6 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (31 May 2021–6 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (10 th week & 25 May 2021–13 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (7 June 2021–13 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ 11 th week & 25 May 2021–20 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (14 June 2021–20 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (12 th week & 25 May 2021–20 June 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ (19 July 2021–25 July 2021) & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week & 2 th week \\ \hline \hline \end{tabular}
\end{table} 
Table 3: The results of real-earthquake prediction.