The efficiency and accuracy of cutting tool state recognition is remarkably raised by the fusion of two above recognition model based on different feature.
通过对上述两种基于不同特征的识别模型的融合，刀具状态识别的效率和准确率显著提高。
CDCPM describes the feature space of model by center distance normal distribution (CDN), and simplifies and improves the HMM efficiently by getting rid of the state transition probability matrix a.
CDCPM用中心距离正态(CDN)分布描述模型特征空间，去掉了H MM的状态转移概率矩阵a，对HMM进行了简化和改进。
The average state space method was employed to eliminate the discontinuous feature of the switch function, then the average state space mathematic model was obtained.
为使并联变流器模型能用于系统分析当中，用平均状态空间法建立了并联变流器的平均状态空间模型，消除了开关函数的不连续跳跃变化。
应用推荐