由目标的实测数据，计算特征向量总体的均值和协方差矩阵及其逆矩阵，由距离判别法进行目标识别。
The mean and covariance matrixes and their inverse matrixes of all eigen vectors are obtained through measured data of the target. And the target is recognized by techniques of range discrimination.
文中研究了网络的基本性能并对其参数进行优化，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。
The performance of network is studied, and its parameters are optimized. Euclid distance discriminance is developed to recognize mixed abnormal patterns.
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