local extremum中文是什么意思

• 局部极值

• "local"中文翻译    adj. 1.地方的，当地的，本地的。 2.局部的。 3 ...
• "extremum"中文翻译    n. (pl. -tre-ma ) 【数学】极值。
• "lokales extremum local extremum" 中文翻译 :    局部极值
• "strict local extremum" 中文翻译 :    严格局部极值
• "extremum" 中文翻译 :    n. (pl. -tre-ma ) 【数学】极值。
• "extremum extremum" 中文翻译 :    极值
• "globales extremum global extremum" 中文翻译 :    全局极值
• "a olute extremum" 中文翻译 :    绝对极值
• "absolute extremum" 中文翻译 :    绝对极值
• "ad extremum" 中文翻译 :    直到有效
• "constrained extremum" 中文翻译 :    约束极值
• "existence of extremum" 中文翻译 :    极值的存在
• "extrema extremum" 中文翻译 :    的复数
• "extremum conditions" 中文翻译 :    极值条件
• "extremum control" 中文翻译 :    极值控制
• "extremum method" 中文翻译 :    极值法
• "extremum point" 中文翻译 :    极值点
• "extremum principle" 中文翻译 :    极值原理
• "extremum problem" 中文翻译 :    极值问题
• "extremum property" 中文翻译 :    极值性
• "extremum with a condition" 中文翻译 :    条件极值
• "extremum with a constraint" 中文翻译 :    条件极值
• "fuzzifying extremum" 中文翻译 :    模糊极值
• "fuzzy extremum" 中文翻译 :    模糊极值
• "prediction of extremum" 中文翻译 :    极值预测

• The bp neural network has the ability to solve many practical problems because of its strong mapping . however , it has slow convergence rate and is prone to fall into local extremum
  Bp神经网络具有很强的映射能力,可以解决许多实际问题,但同时还存在着收敛速度慢,易陷于局部极小的缺点。
• In the course of searching the optimum solution , it can accept a value make objective function good , but also a bad one . in this way it will avoid falling into a local extremum and get a global optimum value
  而且在搜索的过程中，不仅接受使目标函数变好的解，而且还能以一定的概率接受坏解，这样将尽量避免陷入局部极值解而达到全局最优解。
• Aimed at the ga ' s disadvantages : weak local optimization , easiness of falling into local extremum , this thesis presents an improved ga which introduces two operators " local search " and " adaptively avoid entropy decreasing "
  针对遗传算法局部搜索能力差及容易陷入局部极值点的缺陷，提出一种改进的遗传算法，引入了“局部搜索?均值方差阀值”和“自适应防止熵减”两个算子。
• Many experiments are implemented , the results of which demonstrate the algorithm ’ s efficiency and stability . it overcomes disadvantages of the bp neural network which has slow convergence rate and is prone to fall into local extremum
  仿真和实验结果充分表明了该算法的有效性和稳定性,克服了bp神经网络收敛速度慢和易陷入局部极小的问题,为混沌时间序列预测运用开辟了新的应用领域。
• By whitening the covariance matrix of flat ambiguity , correlation between ambiguity components , the number of local extrema of cost function is reduced . the search program getting into precocity is avoided by suitable encoding and genetic operation
  通过白化处理模糊度，减少模糊度搜索中指标函数的局部极值点，采用适当的编码和遗传操作使得在种群个体较少的情况下避免搜索陷入早熟。
• For standard genetic algorithm has the defects of slowly converging and easily falling into local extremum ， the author designed and realized the adaptive multi - population parallel genetic algorithm ( ampga ) to solve the reliability allocation problem of large and complicated software systems . finally , we experimented on the comity center subsystem , delivery center subsystem and system management subsystem of the project : the jiangsu province postal logistics information system
  针对标准遗传算法存在着收敛速度慢、易陷入局部极小值等缺点，本文设计并实现了自适应多种群并行遗传算法（ ampga ） ，来解决大型、复杂软件系统的可靠性分配问题。最后，对“江苏省邮政物流信息系统开发”项目中的“礼仪中心子系统” 、 “递送中心子系统”及“系统管理子系统”进行了可靠性分配实验。
• The radar target identification based on artificial neural network is the protagonist of the chapter 4 . bp network and wavelet network are used to classified the emulational radar targets . with the powerful capability of non - linnear identification of bp neural network , its ’ born limitations such as local extremum , slow convergence etc . can be reformed by the wavelet network , which is a network with a wavelet function embedded into the node of a bp network
  研究了基于人工神经网络模型的雷达目标hrrp识别方法。 bp人工神经网络强大的非线性处理能力,在解决复杂目标分类识别时有优势;小波神经网络针对bp网络的不足,将bp网络和小波变换相结合,在网络收敛、网络初始化方面弥补了bp网络的部分缺陷,其识别性能和抗噪性能与bp网络相比有所提高。
• According to feature that goal function has more than one local extremum in displacement back analysis for underground engineering , a new means of displacement back analysis for underground engineering has been established through adopting fem and self - adaptation idea on the basis of the improvement of the determining method of control parameters , such as initial temperature and number of state choice and annealing strategy , moreover , the relevant analytic software is developed
  摘要本文针对地下工程围岩位移反分析问题的目标函数存在多个局部极值的特点，在对模拟退火算法进程中控制参数，即初始温度、每一温度下的状态选取次数和退火策略的确定方法加以改进的基础上，引进有限元分析手段和自适应的思想，建立了基于改进模拟退火算法的位移反分析方法，并开发了相应的分析程序。
• The reason why we integrate them is that k - means algorithm is a mountain climbing method , which is easy convergent to local extremum , and sensitive to the original condition , but its convergent speed is relatively fast , and that genetic algorithm is a random searching method , which can find the whole extremum in a rather big probability , and non - sensitive to the original condition , but its convergent speed relatively slow
  之所以将：二者结合在一起，是回为k一均值算法是一种爬山法，容易收敛到冈部极小值，对初始条件较敏感，但收敛速度较快，而遗传算法是卞dl随机搜索算法，能够以较大概率找到全局最忧解，且对们始条件个敏感，但收敛速度较慢。

• local extremum перевод