BP neural network control model based on the washing machine has been builded in this paper. A new off-line learning method of BP network has been suggested and realized on chip microcomputer.
论文以工业洗衣机为控制对象，建立了BP神经网络智能控制模型，提出了BP网络的一种离线式学习方法，并在微机中实现。
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 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。
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。
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