1) Time-varying Coefficient of Autoregressive model
时变AR模型系数
2) AR model coefficients
AR模型系数
1.
MAV(Mean Absolute Value), ZCR(Zero-Crossing Rate), as well as three order AR model coefficients, were used to extract SEMG signal features, BP(Back Propagrate) neural network and SOFM(Self-Organizing Feature Map) neural network was used as classifiers to recognize hand gestures.
利用带通滤波器对采集到的原始SEMG信号进行预处理,以抑制噪声;采用移动平均算法对活动段进行检测,以判断有效动作信号的起始点和终止点;提取幅度绝对值均值、过零率和3阶AR模型系数作为SEMG信号的特征;采用BP神经网络和SOFM网络对动作SEMG信号进行分类。
3) time varying mixed AR model
时变迭合AR模型
4) stochastic coefficient AR model
随机系数AR模型
5) Multivariate time-varying AR(autoregression) model
多元时变AR(autoregression)模型
6) AR time sequence model
AR时序模型
1.
The penalty tendency for engine technical states was predicted by the grey model,AR time sequence model and the grey-time sequence model respectively,and the predicted precisions were compared among the three models.
运用灰色模型、AR时序模型以及灰色时序模型分别进行发动机技术状况恶化趋势预测,并比较了预测精度。
补充资料：时变
1.四时季节的变化。 2.时世的变化。亦指时世变化的规律。
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