基于可拓学数据挖掘的黄河决裂期预测模型

Zhong Li, Xinfang Chen, Ailing Wang, G. Yu
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引用次数: 1

摘要

为了预测黄河溃决日期,本文分析了影响黄河溃决日期的几个因素,建立了预测评价指标体系,构建了基于可拓数据挖掘的黄河溃决日期预测模型。实际计算表明,下一年的预测误差为0,两年的预测误差小于5%。该模型对黄河决口日期的预测是可行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A prediction model for Yellow River break-up dates based on extenics data mining
To predict the break-up date of the Yellow River, this paper analyzes a couple of factors contributing to the break-up date of the Yellow River, creates a forecast evaluation index system and builds an extenics data mining-based break-up date prediction model. The practical calculation shows that the next year prediction error is 0 and below 5% in two years. The model is feasible to predict the break-up date of the Yellow River.
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