Abstract
Debris flows caused serious loss of human lives and damages to properties in Taiwan for the past decades. A number of methods for prediction of debris flows have been studied including numerical method, statistic method, experiment method and neural network method in recent years. This study proposed a genetic algorithm (GA) model for occurrence prediction of debris flows. A total of 154 potential cases of debris flows collected in eastern Taiwan were fed into the GA for training and testing. The average ratio of successful prediction reaching 90.4% demonstrates that the presented GA model can provide a stable and reliable result for prediction of debris flows in the hazard mitigation and guarding system.
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Chang, TC., Chien, YH. The application of genetic algorithm in debris flows prediction. Environ Geol 53, 339–347 (2007). https://doi.org/10.1007/s00254-007-0649-2
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DOI: https://doi.org/10.1007/s00254-007-0649-2