So we designed a new rapid fuzzy cluster algorithm , which has an approximately linear process speed and higher cluster precision 為此我們在開發(fā)中提出了一種新的快速模糊聚類算法,它具有準線性的處理速度和較高的聚類精度。
A novel fuzzy clustering algorithm named progressive constructive fuzzy clustering ( pcfc ) was presented , which was used in the application of image compression 摘要為了設(shè)計最化碼書,提出了一種新的漸進構(gòu)造模糊聚類( pcfc )算法,并將其應(yīng)用到圖像的矢量量化中。
Fuzzy clustering algorithms are an important part of fuzzy set theory , and they are one of the fields that fuzzy set theory applied widest , and the achievements are very fruitful 模糊聚類算法是模糊理論中的一個重要的分支,是現(xiàn)今模糊理論中應(yīng)用最廣泛的領(lǐng)域之一,并取得了豐富的成果。
It explains how to building expert system with a neural network , virtual instrument and fuzzy cluster algorithm . at the last of the paper , the write shows an example of the development for such a system 對于專家知識的獲取和知識的系統(tǒng)應(yīng)用是一種很好的嘗試,較好的解決了知識獲取的窄瓶頸問題。
The experimental results show that the method can not only detect the fuzzy edge and exiguous edge correctly , but also improve the searching efficiency of fuzzy clustering algorithm based on tea evidently 實驗結(jié)果表明,該算法不僅具有很強的模糊邊緣和微細邊緣檢測能力,而且可以提高基于人工免疫進化算法的模糊聚類算法的搜索效率。