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Prediction Model of Flush Flood and Debris Flow in Taihang Mountains Areas Based on Bayes Discriminatory Analysis

机译:基于贝叶斯歧视性分析的太行山区冲洗洪水和泥石流预测模型

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摘要

System science and debris flow prediction theory are adopted to analyze external environmental conditions of the system which influence the occurrence of flush flood and debris flow in the area. The external environmental conditions are introduced as model indexes and a set of prediction models is then established. By checking the model with oneself validation and cross validation, the accuracy for judging is 93.75%, which meets the requirement of Bayes discriminatory analysis that the accuracy of judged model should be more than 80%. Two validation results are consistent with each other and the model is stable.
机译:采用了系统科学和碎片流动预测理论来分析系统的外部环境条件,影响该地区冲洗洪水和碎片流动的发生。外部环境条件被引入为模型索引,然后建立一组预测模型。通过用自己的验证和交叉验证检查模型,判断的准确性为93.75%,符合贝叶斯歧视性分析的要求,即判断模型的准确性应超过80%。两个验证结果彼此一致,模型是稳定的。

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