The algorithm avoids the singular decomposition that commonly used in off-line calculation, and only the second order statistics of the signals is used, so the algorithm has low computing cost.
该算法避免了离线计算所采用的特征值分解等复杂运算，并且只利用信号的二阶统计量信息，计算工作量低。
First, a study of a sliding mode controller under on off training is made and then the on line learning algorithm using a gradient decent method is designed.
首先研究了离线训练的滑模控制器，然后，给出了利用梯度下降法的在线训练方法。
The model is effective when applied to the off-line handwritten recognition algorithm.
基于上述模型进行的脱机手写模式识别算法说明了其有效性。
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