模糊模式识别的一种应用--产生最佳的工况类别
An Application of Fuzzy Pattern Recognition--Producting the Best Working-State Classes
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摘要: 本文提出的剪辑模糊聚类法,将模式按空间分布特点分类.通过对含有大量不确定性因 素的复杂工业过程参数间的制约关系进行研究,获得了与实际工况相符的最佳类别.实例表 明,该法效果显著,具有普遍实用价值.Abstract: In this paper, a new method of edit fuzzy cluster analysis is presented, it classifies the patterns according to space distributed characteristics. After the study of the restrictive relationships among the parameters in the complicated industrial process that contains many uncertainty factors, the best classes corresponding to the practical working-state are attained. An example shows that the method is excellent in engineering practice.
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Key words:
- pattern recognition /
- sintering /
- fuzzy cluster analysis /
- working-state class /
- optimzation control
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