然后利用梯度下降法推导了基于最优模式中心的NLDA算法。
The second algorithm calculates the optimum classes' centres of NLDA by method of grads descending.
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。
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.
利用梯度下降法对网络的权值进行训练，并且推导了BVS的增长算法，以及网络训练的限制记忆递推公式。
The weights are trained with Gradient Descent Method. The increase algorithm of BVS, and restricted algorithm, was induced.
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