Research Article
A Novel Ensemble Earthquake Prediction Method (EEPM) by Combining Parameters and Precursors
Table 3
Research based on the ensemble method.
| | Paper Ref. | Year | Method | Type of data | Accuracy | Combination of methods |
| | [13] | 2019 | Ensemble boosting | Precursor based | 81.9 | Support vector machines (SVMs), decision trees (DTs), artificial neural networks (ANNs), extreme learning machines (ELMs), and regression | | [14] | 2020 | Ensemble stacking | Parameter based | 82.8 | Neural network, support vector machine, decision tree, -nearest neighbours, classification | | [15] | 2021 | Ensemble stacking | Precursor based | 84.3 | Models are autoregressive conditional heteroscedasticity (GARCH), autoregressive integrated moving average (ARIMA), time series | | [16] | 2021 | Ensemble stacking | Parameter precursor based | 85.3 | Different swarm intelligence algorithms, KNN, classification, regression |
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