By the simulation of a sample path, and the approximation to performance potentials via neural networks based on reinforcement learning (RL), the systems optimization methods are provided.
在样本轨道仿真的基础上,利用神经网络进行强化学习仿真逼近系统的性能势,进而对系统进行优化。
The performance criterion and scoring rubrics play an important role in the education based on standard, so we should promote teaching and learning by applying the rules.
表现性准则和评价规则在基于标准的教育中具有重要的作用,应利用表现性准则和评价规则促进教学与学习。
The experiment result shows that there is 8% performance improvement compared with the single classifying method based on machine learning.
实验显示,相比单纯的基于机器学习的分类系统,这种组合型分类器产生了8%的性能提升。
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