![]() ![]() ![]() ![]() Experiments were conducted to compare the proposed method with popular machine learning methods. ![]() To verify the effectiveness of the model, we collected data pertaining to earthquake destruction from 1966 to 2017 in China. To obtain accurate prediction results, an effective prediction method based on stacking ensemble learning and improved swarm intelligence algorithm is proposed in this study, which comprises three parts: (1) applying multiple base learners for training, (2) using a stacking strategy to integrate the results generated by multiple base learners to obtain the final prediction results, and (3) developing an improved swarm intelligence algorithm to optimize the key parameters in the prediction model. The number of casualties is determined by various factors, necessitating a comprehensive system for earthquake-casualty prediction. The estimation of the loss and prediction of the casualties in earthquake-stricken areas are vital for making rapid and accurate decisions during rescue efforts. ![]()
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June 2023
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