摘要
在自动识别中 ,往往存在一些不确定的模糊影响因素 ,所以 ,通过聚类算法和模糊理论讨论 ,分析了两者相结合的模糊聚类算法所具有的特点 ,利用多维特征空间的模糊聚类算法对炼钢物料进行识别 ,实验取得了较好的效果 ,其识别正确率达到 92 .5 % 。
In automatic identification, there exist some indefinite and fuzzy elements which usually have an influence on the identification result. In this paper,the extraction of material features is discussed based on the fuzzy clustering algorithm, and the fuzzy clustering algorithm for the multidimensional feature space is applied to the identification of steelmaking materials. The experiment reaches a validity proportion of 0.925. The result shows that the automatic identification of the industrial materials for steelmaking can be achieved by three-dimensional clustering.
出处
《合肥工业大学学报（自然科学版）》
CAS
CSCD
2002年第4期610-613,共4页
Journal of Hefei University of Technology：Natural Science
