摘要
用最大树法和软划分法,对径流样本进行最佳模糊聚类,然后将所得聚类中心扩展成模糊子集,由此构造多个来水预报模式。并运用计算机试验,找到合适曲参数以确定出各来水类型的Gamma分布密度,从而可预报出汛期来水流量及其实现的模糊概率。
Mades optimal fuzzy cluster in the run-off samples with maximal tree method and soft classification. By extending the got clustering centres to fuzzy subsets, forms many patterns of prediction for flowing. Finds the proper parameter, and then determins the Gamma distribution density of the flows. So amout of flowing during the flood season and its fuzzy probability may be predicted.
关键词
径流
预测
模糊数学
聚类分析
Run-off
Prediction
Fuzzy Mathematics
Cluster analysis
