根据现有的齿轮表面处理技术，提出了齿轮表面的在线强化新构思，进而得出齿轮在线强化设计的方法。
Based on current gear surface treatment technology, the on-line strengthening of gear surface is proposed. Its design method is established.
基于马尔科夫过程的强化学习作为一种在线学习方式，能够很好地应用于单智能体环境中。
Reinforcement learning based on Markov decision process is a way of on-line learning, which can be applied to single agent environment.
用换热管内微型液轮机实现换热设备在线、连续、自动防垢除垢及强化传热是一种实用新型专利技术。
Using Miniature Hydraulic Turbine in heat Exchanger Tube (MHT) to realize fouling prevention on-line and enhance heat transfer is a national patent.
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