特征异常模式 meaning in Chinese

diagnostic anomaly pattern

Exponentially weighted moving average ( ewma ) and fuzzy algorithm for the input samples are also developed to improve its recognition accuracy . numerical simulation results show this model possesses many advantages , such as good self - adaptive ability , quick training and good recognition performance
文中提出了采用欧氏距离判别法作为混合型多特征异常模式的识别方法；提出了采用数据模糊化和指数加权滑动平均处理两种提高模型识别精度的方法。