Research on local path planning of mobile robot based on Q reinforcement learning and CMAC neural networks.

基于Q强化学习与CMAC神经网络的移动机器人局部路径规划研究。

youdao

Using this improved evolutionary neural network, the complex relationship between the design parameters and the stability after reinforcement and the cost of the project is expressed successfully.

利用此进化神经网络较准确地表达了滑坡加固方案中设计参数与加固后滑坡的总体稳定性和工程造价之间的复杂映射关系。

youdao

Based on neural network and combined with adaptive capability of reinforcement learning, it can execute velocity tracking control through online learning of neural network.

该控制方法基于神经网络并结合强化学习的自适应能力，通过神经网络的在线学习对车速进行跟踪控制。

youdao