蚁群聚类算法与HOPfield网络融合模型的研究

Fusion Model Based on Ant Colony Clustering Algorithm and HOPfield Network

聚类需要在没有任何先验知识的情况下得出数据的规律。为了解决聚类中的局部收敛问题,利用蚁群聚类的优点,结合连续型HOPfield网络构造合适的目标函数,得出融合的模糊聚类模型。运用海量的数据对融合的模型进行验证,得到满意结果。

Clustering need to obtain the rules of date without Priori knowledge.In order to solve the problem of local convergence in clustering algorithm,use the advantage of ant colony clustering,combine HOPfield network to construct an appropriate objective function.Obtain the fusion fuzzy clustering model.Get satisfactory results by using vast amounts of data to authentication the fusion model.