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；
The engine vibration knowledge is automatically elicited from the training pattern sets in the off line learning process of neural networks.
学习过程分为离线学习支持向量机和在线整定模糊比例因子两部分。
And its learning procedure includes two parts: offline training of SVM and online training of fuzzy scale factors.
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。
Lastly, the characteristics between fault outputs and measuring inputs in different subspaces have been obtained by processing off line learning.
应用推荐