Exploring the reliability of different artificial intelligence techniques in predicting earthquake for Malaysia
Acceleration; Decision trees; Disasters; Earthquake effects; Forecasting; Machine learning; Neural networks; Artificial neural network models; Depth; Earthquake; Earthquake acceleration; Ground motion parameters; Input parameter; Machine learning models; Malaysia; Neural-networks; Prediction model;...
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| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Published: |
Elsevier Ltd
2023
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| Institution: | Universiti Tenaga Nasional |
| Summary: | Acceleration; Decision trees; Disasters; Earthquake effects; Forecasting; Machine learning; Neural networks; Artificial neural network models; Depth; Earthquake; Earthquake acceleration; Ground motion parameters; Input parameter; Machine learning models; Malaysia; Neural-networks; Prediction model; Velocity; acceleration; artificial intelligence; artificial neural network; depth determination; earthquake prediction; ground motion; reliability analysis; seismic velocity; Malaysia; Terengganu; West Malaysia |
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