A fault identification with fuzzy C-Mean clustering algorithm based on improved ant colony algorithm (ACA) is presented to avoid local optimization in iterative process of fuzzy C-Mean (FCM) clustering algorithm and the difficulty in fault cl

模式识别课件，用于对故障的学习，以及学习相关的优化分类方法-Pattern Recognition courseware for learning the fault, and related optimization classification learning