1) improved clustering
改进聚类算法
1.
Firstly,the structure of fuzzy neuro net(FNN)is decided by improved clustering,then the primise parameters and consequent parameters of FNN are trained by hybrid learning algorithm,finally related data are input into the trained FNN to forecast electricity load.
提出了基于改进聚类算法的模糊神经网络的短期负荷预测方法。
2) improved clustering algorithm
改进的聚类算法
1.
To answer the questions of the existing FCM involving local limit value and bad scalability,the paper puts forward an improved clustering algorithm MFCM(minimum fuzzy C-means) basing on MCDSA(minimum connected donating set algorithm).
针对现有FCM聚类算法中存在的局部极值和伸缩性较差等问题,提出了基于全部最小连通支配集算法(minimum connected donating set algorithm,MCDSA)的改进的聚类算法(minimum fuggy C-means,MF-CM)。
5) improved K-means clustering algorithm
改进 K-均值聚类算法
6) modified K means gaussian clustering
改进的K均值聚类算法
补充资料：改进
改变旧有情况，使有所进步：～工作ㄧ操作方法有待～。
说明：补充资料仅用于学习参考，请勿用于其它任何用途。
参考词条