grid search meaning in Chinese
格子状搜索
Examples
- The support vector classifier is adopted to identify fault in the two types , and the grid search method based on cross - validation is chosen to determine model parameters
该模型将变压器故障分为放电性和过热性两大类，通过统计分析寻求特征量区分类间的故障类型，采用支持向量机识别类内的故障类型，利用基于交叉验证的网格搜索法来确定支持向量机的参数。 - In the end , two simple object functions are built based on the results of parameter analysis , with which to search the optimum ratio of spans by the grid searching method . the static behavior is also compared between the optimized bridge and the basic bridge
最后，以参数分析为基础，采用结构优化思想，建立两个简单的目标函数，运用网格搜索法寻求最优跨径比值，并对优化后的桥梁与基准桥受力进行对比分析。 - More specifically , this dissertation includes following contents : firstly , based on the analysis of h . 264 , the effect on coding efficiency by the key modules of h . 264 is analyzed . secondly , for the purpose of improving the efficiency of h . 264 encoder , we optimized the h . 264 arithmetic . especially fast motion estimation is improved by using hucmhgs ( hybrid unsymmetrical - cross multi - hexagon - grid search ) for integer pel motion estimation and using cbfps ( center biased fractional pel search ) for fractional pel motion estimation
主要工作包括: ( 1 )研究h . 264标准,分析编码器各模块及其采用的技术细节的计算复杂度,寻求提高编码速度的途经; ( 2 )对h . 264的jm82软件进行算法总体优化处理,尤其对于编码速度的瓶颈? ?运动估计进行改进,采用不对称多六边形网格混合搜索算法hucmhgs进行整数像素运动估计,采用带金字塔搜索模式的中心偏置分数像素搜索算法cbfps进行分数像素运动估计; ( 3 )结合tms320c6416的结构特点,在研究并行优化实现方法的基础之上,对h . 264算法的各个具体模块进行汇编语言编程实现。 - In this paper , when the global optimal theory and monte - carlo technique are applied , i transformed the maximum likelihood frequency estimation problem of sinusoidal waves from multidimensional grid search to a closed expression . this makes it easy to estimate the frequency through optimal calculation
本文即是从解决以上的问题入手，通过结合运用全局优化理论和monte - carlo技术，使多个正弦波的最大似然频率估计问题由多维格形搜索变成了一个闭合的表达式，从而可以通过优化计算来进行频率估计。 - Most existing identification algorithms used in robot soccer vision system need to scan the image another time after all the pixels " color have been classified , which is time consuming . in order to save time , a seed - fill algorithm based on grid search is introduced in this paper . the new algorithm is much faster
针对足球机器人系统中视觉系统现有的识别算法普遍需要对已经进行了颜色分类的像素点进行二次扫描，占用大量时间的缺点，提出了基于网格查找的新方法，并且这种网格查找与像素点的颜色分类同时进行，并不占用处理时间。