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收敛条件的英文

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"收敛条件"怎么读用"收敛条件"造句

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  • condition of convergence

例句与用法

  • Cauchy condition for convergence of a series
    柯西级数收敛条件
  • In chapter 1 , we summarize several iterative methods and their convergence condition , the techniques in proving the iterative methods ' s convergence theorem
    在第一章中,我们总结了各种迭代法和它们的收敛条件及证明各种迭代法收敛性的技巧。
  • In this paper we improve the simplex algorithm for quadratic programs , from algorithm to convergence conditions , and get simpler procedure and converging rules
    摘要本文对二次规划的单纯形算法,从算法到收敛条件均加以改进,得到更简易的程序和收敛准则。
  • The definition and the factor graph model for ldpc codes are summarized . message passing decoding algorithm is presented in details on bsc channel , and the convergence conditions of the algorithm are analyzed
    阐述了ldpc码的定义及因子图模型,以bsc信道为例,具体介绍了消息传递译码算法,并给出了其译码收敛条件的分析。
  • Some improvement are made on the ground of direct method , such as adding the outer iteration and adopting dynamic convergent criterion to accelerate it , introducing the iteration step factor , adding the flux criterion to main iteration , etc . compared with the other two computation methods , the modified direct method has the advantage of wide calculational range and high precision
    在直接法的基础上作了几点改进,如引入参数使得主迭代中增加了外迭代并采用动态收敛判据加速迭代过程,引入步长调整因子f ,给主迭代收敛条件增加了通量判据等。
  • Abstract : iterative learning control is an effective approach to the control of processes that are repetitive in nature . in this paper , an open - closed - loop pi - type iterative learning control scheme for the precise tracking control of a class of discrete nonlinear time - varying systems over a finite time interval is presented . the scheme updates control input with tracking errors of both current and last iterations simultaneously . sufficient and necessary conditions which guarantee the convergence of the scheme are given and then proved with inductive method . finally , the conditions are verified with simulation results
    文摘:对于具有重复运动性质的对象,迭代学习控制是一种有效的控制方法.针对一类离散非线性时变系统在有限时域上的精确轨迹跟踪问题,提出了一种开闭环pi型迭代学习控制律.这种迭代律同时利用系统当前的跟踪误差和前次迭代控制的跟踪误差修正控制作用.给出了所提出的学习控制律收敛的充分必要条件,并采用归纳法进行了证明.最后用仿真结果对收敛条件进行了验证
  • This paper presents a model of cosine basis functions neural network based on bp algorithm , discusses the relation between the algorithm of neural network and amplitude - frequency characteristic about the linear phase fir filter , introduces the convergence condition of neural network algorithm , and studies the optimal design example about the high - order fir double - band - pass filters
    提出了一种基于bp算法的正弦基函数神经网络模型及算法的收敛条件,研究了该神经网络算法与fir线性相位滤波器幅频特性的关系,给出了高阶双通带滤波器的优化设计实例。
  • This paper presents a model of cosine basis functions neural network based on bp algorithm , discusses the relation between the algorithm of neural network and amplitude - frequency characteristic about the linear phase fir filter , introduces the convergence condition of neural network algorithm , and studies the optimal design example about the high - order fir double - band - pass filters
    摘要提出了一种基于bp算法的正弦基函数神经网络模型及算法的收敛条件,研究了该神经网络算法与fir线性相位滤波器幅频特性的关系,给出了高阶双通带滤波器的优化设计实例。
  • In the research of the algorithms and theory of temporal difference learning , a new class of multi - step learning prediction algorithms based on linear function approximators and recursive least squares methods is proposed , which are called the rls - td ( t ) learning algorithm . the convergence with probability one of the rls - td ( t ) algorithm is proved for ergodic markov chains , and the conditions for convergence are analyzed
    在时域差值学习( temporaldifferencelearning )学习算法和理论方面,首次提出了一种基于线性值函数逼近的多步递推最小二乘td ( ) ( rls - td ( ) )学习算法,并分析和证明了该算法在求解遍历markov链学习预测问题中的收敛条件和一致收敛性。
  • Abstract : based on a numbers piled up for varies resources ( labor , materials , mechines ) in neuron plan , a composed distribution for various resources was obtained . then , using time difference and quantities of materials , the best selected work and time started as astrictive conditions , the best optimum distribution which satisfied variou resources in difference optimodel and astrictive conditions was got
    文摘:将多种资源(人工、材料、机械)的数量同时在神经网络计划技术上实行数字化叠加,从而获得多资源叠加的合成分布,再利用神经网络计划技术中各个工作的不同时差和资源数量,按收敛条件选择最佳开工工作和开工时间,满足多种资源在优化模式中按收敛条件进行最优分布
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