MATLAB 帮助中心
使用 Deep Learning Toolbox™ 将深度学习融入强化学习、预测性维护和自主导航应用中。
Train a DDPG agent to control a robot sliding over a frictionless 2-D plane.
(Reinforcement Learning Toolbox)
Train an hybrid SAC agent for lane following control.
Compare DDPG and TD3 agent for the control a biped walking robot modeled in Simscape™ Multibody™.
Use a conditional generative adversarial network to produce synthetic signals.
(Signal Processing Toolbox)
Use simulation data to train a neural network than can detect faults in a chemical process.
(Predictive Maintenance Toolbox)
Perform fault diagnosis of a rolling element bearing using a deep learning approach.
You clicked a link that corresponds to this MATLAB command:
Run the command by entering it in the MATLAB Command Window. Web browsers do not support MATLAB commands.
选择网站
选择网站以获取翻译的可用内容,以及查看当地活动和优惠。根据您的位置,我们建议您选择:。
您也可以从以下列表中选择网站:
如何获得最佳网站性能
选择中国网站(中文或英文)以获得最佳网站性能。其他 MathWorks 国家/地区网站并未针对您所在位置的访问进行优化。
美洲
欧洲
亚太
联系您当地的办事处