针对柔性加工过程的特征，研究了基于遗传神经网络的加工误差在线建模预报的方案和关键技术。
According to the feature of flexible machining, it be studied that the scheme and key technology of on-line modeling and prediction of machining error based on genetic neural network.
提出了一种用于动力学都分已知柔性连杆机器人的多速率神经网络自适应混合控制墨。
A multirate composite neural controller is presented in this paper for the trajectory tracking control of a flexible-link robot with a partially known nonlinear dynamics.
提出了一种末杆为柔性杆的机器人的新型神经网络控制方法。
A novel neural networks control approach for manipulator with flexible end link was proposed.
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