针对该问题以及现有自适应方法的不足，本文提出基于反馈学习的自适应方法。
To overcome this problem and the shortcomings of current adaptive methods, we propose a new adaptive method based on feedback learning.
基于持向量学习算法，提出了一种新的相关反馈方案。
A new relevance feedback scheme is proposed based on a support vector learning algorithm for ordinal regression.
针对一类单输入单输出不确定非线性重复跟踪系统，提出一种基于完全未知高频反馈增益的自适应迭代学习控制。
An adaptive iterative learning control approach is proposed for a class of single input, single output uncertain nonlinear systems with completely unknown high frequency learning gain.
基于强化学习的多指手控制方法，该方法将反馈控制与强化学习相结合。
The former one is a new approach combining reinforcement learning with feedback control.
基于强化学习的多指手控制方法，该方法将反馈控制与强化学习相结合。
The former one is a new approach combining reinforcement learning with feedback control.
应用推荐