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.
RBF神经网络采用离线学习在线修正权值和阈值，为加快收敛速度，应用带惯性项的梯度下降法。
RBF neural network adopts the off-line training and the on-line adaptation of weight and threshold value. In order to speed up the convergence, the grads descent method with inertia item was used.
新发布的版本提供的其他特性包括集成业务流程建模中的学习对象，增强离线学习能力和增强内容查询、装配和交付。
Other proposed features include integration of learning objects in business process modeling, enhanced offline learning capabilities, and enhanced content search, assembly, and delivery.
学习过程不需要任何离线训练过程。
The learning process does not need any offline training phase.
在化学的研究和学习中为了更好地查询和利用互联网上的化学资源，需要提供一个方便、快捷的离线搜索软件。
To search and apply the resource of chemical information on Internet during the researching and studying chemistry, we need a convenience and direct way, for instance, off - line searching software.
另外一个方面，离线仿真也是对控制系统的自适应和自学习的一个有益的补充，有利于控制系统的优化。
Another, Off-line Simulation is supplement of self_learning and adaptive in control system, it is propitious to optimization of control system.
通过离线的迭代算法生成高精度的样本点来训练神经网络，使用动量法、变学习率法和共轭梯度法提高BP网络的收敛速度。
Methods based on BP neural network and RBF neural network were studied to solve inverse kinematics. The training samples were obtained through off-line numerical method with high precision.
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。
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.
在发动机启动阶段离线训练神经网络，在发动机稳态过程可以采用离线或在线学习算法。
Neural network can be trained for off-lime condition in all flight or for on-line condition in the stabilizing process of the rocket engine running.
在发动机启动阶段离线训练神经网络，在发动机稳态过程可以采用离线或在线学习算法。
Neural network can be trained for off-lime condition in all flight or for on-line condition in the stabilizing process of the rocket engine running.
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