off-line learning 离线学习
The engine vibration knowledge is automatically elicited from the training pattern sets in the off line learning process of neural networks.
神经网络的离线学习算法可以从训练样本中提取振动知识;
Lastly, the characteristics between fault outputs and measuring inputs in different subspaces have been obtained by processing off line learning.
最后,通过离线学习获得不同子空间故障输出与测量输入的非线性动力特性。
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。
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