Abstract
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Main purpose of this article is to classify reservoirs corresponding to their physical characteristics, for example, dam height, dam width, age, repair-works history. First of all, data set of 13,976 reservoirs was analyzed using k means and self organized maps. As a result of these analysis, lots of reservoirs have been classified into four clusters. Factors and their critical values to classify the reservoirs into four groups have been founded by generating a decision tree. The path rules to each group seem reasonable since their survivor function showed unique pattern.
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- Publisher :The Korean Society of Agricultural Engineers
- Publisher(Ko) :한국농공학회
- Journal Title :Journal of Korean Society of Agricultural Engineers
- Journal Title(Ko) :한국농공학회논문집
- Volume : 47
- No :7
- Pages :13–22


Journal of Korean Society of Agricultural Engineers







