• The performance improvement after the application of each tuning parameter is cumulative, building upon the parameters from the previous sections.

    根据上一节所提供的参数,调节各调优参数后实现的应用程序性能改善是可以累加的。

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  • By applying the rules discussed earlier, this health check exercise indicates that no further tuning effort is required for the NUM_IOCLEANERS parameter.

    通过应用前面所讨论的规则,该健康检查实践表明NUM_IOCLEANERS参数不需要进行进一步的调优工作。

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  • On OLTP systems, where user sessions are performing quick queries, tuning this parameter can be very important.

    在OLTP系统上,用户会话执行快速查询,调节此参数可能非常重要。

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  • In the chart, the blue bars always represent the baseline throughput values and the red bars represent the throughput values after adjusting the discussed tuning parameter.

    在该表中,蓝柱用于表示基准吞吐量值,而红柱表示调整所讨论的调优参数后的吞吐量值。

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  • This is the main parameter for JVM tuning.

    这是用于JVM调优的主要参数。

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  • For detailed information on JVM parameter tuning, refer to [5].

    要获取关于JVM参数调优的详细信息,请参考[5]。

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  • There is a brief explanation of each parameter with a recommended 'default' value followed with some data that illustrates the importance of tuning GlassFish for performance.

    每个参数都有一个建议的缺省值、简要介绍以及说明其对于性能影响重要程度的数值。

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  • The time slice tuning parameter allows the user to specify the number of clock ticks by which the time slice length is to be increased.

    时间片调整参数允许用户指定时间片长度增加的时钟计时数。

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  • The final parameter is used for passing additional tuning parameters through to PDO or the underlying driver--more on that shortly. Here's a short sample script that connects to DB2

    最后一个参数用于传递附加的调优参数到PDO或底层驱动程序 —— 后面很快会有更详细的论述。

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  • With AIX Version 5.3, changing the lru_file_repage parameter is a far more effective way of tuning, as you would prefer AIX file caching not be used at all.

    在AIXVersion 5.3中,更改lru_file_repage参数是一种更加有效的优化方法,因为您希望不要使用AIX文件缓存。

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  • PID parameter tuning and optimizing is an important issue in the field of automatic control.

    PID参数整定与优化一直是自动控制领域研究的重要问题。

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  • You can determine a good starting point for tuning your configuration by using the configuration Advisor, which recommends database parameter values based on your system resources.

    您可以通过使用Configuration Advisor确定调优配置的良好起点,Configuration Advisor基于您的系统资源来推荐数据库参数值。

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  • The self-tuning memory is enabled using the self_tuning_mem database configuration parameter.

    自调优内存特性可以通过self_tuning_mem数据库配置参数来启用。

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  • The amount of "anticipation" is decided by the value of tuning parameter.

    预期的总量决定于其调谐参数的值。

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  • This method efficiently makes use of expert experience in PID parameter tuning, and the controller has the merits of both fuzzy control and PID control.

    此整定方法有效地把专家经验应用于PID参数调节中,控制器集模糊控制器和PID控制器的优点于一身。

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  • Simultaneously, some parameter tuning strategies are presented to guarantee low overshoot and good robustness for the predictive control system.

    同时,本研究提出一些参数调谐策略,确保此预测控制系统具有低超越及良好的韧性。

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  • The key issues in the study of PID parameter tuning are presented.

    最后还指出目前PID参数整定研究的热门方向。

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  • The design of PID parameter controller based on fuzzy self tuning is introduced.

    提出了一种模糊自整定PID参数控制器的设计方法。

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  • Then, the parameter tuning method via artificial fish school algorithm (AFSA) is proposed.

    随后提出了采用人工鱼群算法进行参数整定的方法。

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  • The FNIMC controller consists of a model inverse controller and a robustness filter with a single tuning parameter.

    FNIMC由一个逆模控制器和具有一个可调参数的鲁棒滤波器组成。

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  • Feedback control is a parameter self tuning fuzzy controller and the burn through point is calculated by quadratic curve method.

    反馈部分为参数自调整模糊控制器,终点的计算采用二次曲线拟合法。

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  • This paper presents a design method of parameter self tuning fuzzy PI controller. Simulations have shown that the controller has good control performances and robustness in much control process.

    提出一种参数自校正模糊pi控制器的设计方法,该方法具有算法简单、控制品质较好等优点。

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  • The conventional PID control system was not very suit for this type of system, because the conventional PID control can't accomplish online auto-tuning PID parameter adjust.

    常规的PID控制对于这样的系统的控制效果不是很理想。 这是因为常规PID不能根据现场的情况进行在线自我调节参数。

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  • A method to realize the parameter self tuning of the speed controller in a position servo system is proposed.

    提出了一种位置伺服系统速度调节器参数自调整的方法。

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  • The structure of the distributing system is used to increase the reliability and the intelligent PID parameter tuning method is adopted to enhance the control precision.

    为提高可靠性采用分布式系统结构。为提高控制精度采用智能PID参数整定算法。

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  • Based on the PID control theory and recent PID parameter tuning method, a tuning method using direct search optimization (LJ method) is designed.

    本论文在PID控制理论及现有PID控制参数整定方法的基础上,设计使用随机数直接搜索法进行PID控制参数的寻优整定。

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  • In this paper, a new automatic tuning method of PID controller based on dynamic neural network is proposed and an online parameter tuning algorithm is given out.

    提出一种基于动态神经网络的PID控制器,给出pid参数在线自整定学习控制算法,并进行了算法仿真研究。

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  • Parameter tuning of Support Vector Regression (SVR) has been a critical task to develop a SVR model with good generalization performance.

    在回归支持向量机的建模中,参数调节问题一直是影响模型性能的重要因素之一。

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  • Finally, two methods of PID control parameter self-tuning are studied.

    最后,用两种方法就PID参数的整定问题做了进一步的研究。

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  • Parameter tuning simulation experiment has been performed on this model.

    最后对参数整定的结果进行了分析。

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