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全局最优
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  global optimum
    SVM has good characteristics of simple structure,global optimum and strong generalization ability.
    支持向量机分类器结构简单、可获得全局最优、泛化能力强.
短句来源
    Improved genetic algorithm (IGA) is an orienteed random search method, which has a moderate precondition, a good probability converge to global optimum.
    而遗传算法是一种有导向的随机搜索方法 ,它具有适用条件宽松 ,有较大的概率收敛到全局最优等优点。
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    Because of genetic algorithm's inherent characteristics, such as implicit parallelism, robustness and simplicity, computational efficiency can be improved, and global optimum results can also be found.
    由于遗传算法固有的隐并行性、鲁棒性和简单易行等特点 ,提高了计算效率 ,可以获得全局最优解 ,并且收敛稳定 .
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  “全局最优”译为未确定词的双语例句
    E3D R-tree takes into account the features of moving object data and takes advantage of new cost parameters.
    在E3D R-tree中,结合移动对象数据特征引入空白区域作为新的插入代价参数,同时,在插入算法中利用最小代价优先搜索算法确定全局最优插入路径,并给出算法正确性证明。
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    A practical implementation of very low bitrate video coding system based on H.263 protocol is proposed. The rate control algorithm and search algorithm of motion estimation are discussed in detail. An adaptive rate control method is adopted by this system, which can dynamically control the bitrate to the assigned value.
    提出了基于H.263协议的极低码率视频编码系统的一种具体实现,详细地讨论了码率控制算法和运动估计的搜索算法.其中该系统采用的自适应码率控制方法,能够动态地控制码率到指定的数值.提出的一种局部最优搜索算法,与全局最优搜索相比,大大地减少了搜索时间,而信噪比相差不大.
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    In this signal sorting and recognition system, RBF hidden layer is designed by improved immune algorithm, which can reach the optimal structure of the system with high efficie ncy.
    这种RBF网络分选系统采用改进免疫算法设计RBF网络的隐层参数 ,可以达到较高的优化效率 ,使系统结构趋于全局最优 .
短句来源
    Since the cost functions of CM based Algorithms are nonconvex and there exists local minima.
    5.由于多用户检测器的最小误码率代价函数是一个极不规则的非线性函数,存在许多的局部极小点,本文尝试用遗传算法来解决这个全局最优问题。
短句来源
    By theoretic analysis and experimentation, we known using SOFM to replace LBG may realize general optimum training codebook and controlling the training time, may increase the computation speed by using parallel arithmetic.
    通过理论分析与实验可知,采用SOFM算法代替普通LBG算法可以实现码书训练的全局最优及其训练时间的可控性,采用并行算法可提高计算速度;
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  global optimum
However, the current layer optimization approach to power allocation cannot achieve the global optimum of the overall system performance.
      
Basing upon the frame of multi-level optimization, the intelligent agent technique was adopted to search for global optimum.
      
After a brief introduction of the subject, the paper focusses on the first step in any optimization procedure: the delineation of the parameter space, wherein the global optimum is to be found.
      
Finding the best possible conditions (the global optimum) is very difficult for chromatographers in practice.
      
By performing a set of nine pre-planned experiments conducted over the maximum working range for the system, global optimum separation conditions could be determined.
      
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By using RND optimal function module to improve the common useddamping minimal 2 multiplication, thus its limitation can be getting better. Thelimitation of minimal 2 multiplication shows that the optimizing process willstop optimizing when it meets certain extreme value, thus the result is not oftenthe optimal solution. The basic idea solving the problem is to let the optimizingprocess "jump out" the partial extreme value and continuously optimizing. Data modifying, results storing automatically and manmachine...

By using RND optimal function module to improve the common useddamping minimal 2 multiplication, thus its limitation can be getting better. Thelimitation of minimal 2 multiplication shows that the optimizing process willstop optimizing when it meets certain extreme value, thus the result is not oftenthe optimal solution. The basic idea solving the problem is to let the optimizingprocess "jump out" the partial extreme value and continuously optimizing. Data modifying, results storing automatically and manmachine interacationat suitable time are designed in programming, so the users can select the oper-ating mode according to their different cases.

本文讲述作者采用RND(随机)优化功能模块去改进目前广为使用的阻尼最小二乘法,使其局限性得到改善。阻尼最小二乘法的局限性在于优化过程遇到局部极值而终止优化,其结果不一定是全局最优解。解决此问题的基本思想就是让优化过程“跳”出局部极值而继续优化。在程序设计中,专门设置了便于数据修改的形式:结果自动存储形式、人机适时对话形式,便于用户根据不同情况进行选择。

This paper proposes a global optimizatoim algorithm for calibrating array errors. The spectral-estimation matrix is formed from the projection matrix to estimate the direction of arrival and unknown error's parameters simultaneously,and the simulation annealing is utilized to guarantee that algorithm converges to the global minimum.For the simplicity the algorithm presented here considers gain and phase errors only.

提出了一种高分辨阵列测向的全局优化自校正算法。对在模型失配的情况下,利用投影矩阵所形成的谱估计矩阵,同时对信号的到达方向及未知的模型误差参数进行估计,并利用退火模拟算法保证算法能收敛于全局最优解。为简单起见,文中仅考虑阵元的增益及相位误差参数。

A feedforward neural network was first proposd, which can select the minimun among several analog inputs. Then a shortest path controller, based on this neural network, for multi stage switch networks, was develope. Computer simulation results show that the neural networks can find the global minimum in both cases.

首先提出了一种基于前馈网络的多模拟输入最小值选择电路,然后将该网络用于解决多级级联交换网络的最小费用路径选择问题.计算机仿真表明,此前馈神经网络总能找到全局最优.由于前馈神经网络的计算时延非常短,可以满足高速交换的需要

 
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