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Home > english-chinese > "local parameter" in Chinese

Chinese translation for "local parameter"

局部参数

Related Translations:
incompatible parameter:  不兼容参数不兼宙参数
wastewater parameter:  废水参数废水特性参数
hydrodynamic parameter:  水动力参数
rest parameter:  剩余参数
solvent parameter:  溶剂参数
goertler parameter:  戈特勒参数
population parameters:  母体参数
battery parameter:  蓄电池参数
parameter input:  参数输入
decoupling parameter:  解耦参数
Example Sentences:
1.The concise and unified formula for testing any local parameter using f - statistic in covariance analysis is presented . the specific algorithm is also described
给出了在协方差分析中,对任何局部参数进行检验时使用f -统计量的简明统一表达式,也给出了具体的算法
2.In this paper , fuzzy neural network was studied and fuzzy reasoning was realized by use of neural networks structure . bp algorithm is used to optimize local parameter
本文研究了模糊神经网络,用神经网络结构进行模糊推理,用bp算法调节和优化具有局部性的参数。
3.The research shows that emrb can optimize the local parameters and improve the quality of steel , give some reference to the development of embr in internal metallurgical industry
研究表明,电磁制动能有效优化现场参数和提高钢坯质量,为国内外冶金行业电磁制动技术的发展提供一定的参考。
4.The problem of local parameter optimization in low synchronization bunch _ rank speed - control system has been researched in this paper . the paper analyzed the problems existing in trational double closed _ loop bunch _ rank speed - control system , and pointed out the influence on performance of system caused by nonlinear parameter with timing variety . added a local mit self _ adaptive controller to double _ closed loop bunch _ rank speed - control system . the results of computer imitating indicated that under same disturbance the performance of system has been improved obviously . 5figs . , 1tab . , 4refs
对低同步串级调速系统中局部参数最优化问题进行了分析研究.从理论上分析了传统的双闭环串级调速系统中存在的问题,指出了系统中非线性时变参数对系统性能的影响.在双闭环串级调速系统中增加局部mit自适应规则.计算机仿真结果表明:在相同的扰动作用下,系统的性能得到明显改善.图5 ,表1 ,参4
5.In the parameter - based fusion methods , we analyze the applicability of the bayes theory and neyman - pearson rule when they are applied to identity verification systems ; we compare global and local parameter in bayes fusion system ; we further propose weighted method , and apply it to bayes - and neyman - pearson - based identity verification system , and get a more higher verification result
在有参数的融合方法中,分析了bayes理论和neyman - pearson准则在融合时的适用范围;针对bayes融合系统参数的选取问题,我们分别进行了全局参数和局部参数的融合实验;并提出了加权思想,将其用于bayes理论和neyman - pearson准则的身份识别融合系统,得到了较好的鉴别效果。
6.When catchment area , average channel gradient and catchment shape factor of designed culvert or bridge are known , a user can be convenient to get local parameters c , e and b from standard contour charts and easy to calculate flood flow just by a calculator . design period of flood flow is enormously shortened as well as a high precision . estimated flood flow through culvert or small bridge by new calculation model is generally less than by traditional methods , so that much cost is cut down a s reducing the span of culvert or small bridge
以75000km ~ 2的川中丘陵地区为试点研究区,绘制了该地区新模型的参数等值线图,率定了不同设计频率的改正系数,使设计者只需在地形图上获取集水面积,河道平均坡降和流域形状系数,在参数等值线图上查得桥涵所在地的相应参数,使用计算器即可迅速计算出设计流量,大大缩短了设计周期,且精度较高,设计的洪水流量一般低于传统方法,从而可减小桥涵跨径,节省投资。
7.In the last section of this article , many correlations , including biasi correlation , sudo correlation , cise correlation , and 1995 look - up table , are compared with our experimental data . based on these results , evaluations on these correlations are provided , and because of lack of considering on up - stream memory effect , the correlations which mainly predict chf value based on local parameters , have considerable error
针对目前文献中存在的大量的chf经验公式以及图表,本文通过实验数据与biasi公式, sudo公式, cise公式, groenveled的95look - uptable以及hewitt & kearsey关联式计算值的对比,进行了对这些公式的评价,发现由于大部分的公式其临界的判断主要基于局部参数,没有考虑到上游记忆效应,计算结果存在显著误差。
8.In the off - line learning , ga is used to optimize the global parameters of member functions . during the on - line learning , the algorithm inherited from the principle of back propagation ( bp ) is used to train the local parameters of network weights . applying it into position servo system , satisfied effect is obtained
在误差较小时,采用基于遗传算法的模糊神经网络智能控制,基于遗传算法的模糊神经网络智能控制器,它用遗传算法优化具有全局性的隶属度函数参数,用bp算法在线调节具有局部性的网络权值参数。
Similar Words:
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