函数近似的英文

• approximallon to function
• approximation of function

• "函数"英文翻译    function
• "近似"英文翻译    approximate; similar; approa ...
• "样条函数近似" 英文翻译 :    spline approximation
• "有理函数近似" 英文翻译 :    rational function approximation
• "指数函数近似" 英文翻译 :    exponential function approximation
• "不连续函数近似解" 英文翻译 :    discontinuous approximallon
• "拉格朗日函数近似" 英文翻译 :    a roximation of lagrange function; approximation of lagrange function
• "冲晃数近似" 英文翻译 :    impact parameter a roximation; impact parameter approximation
• "对数近似" 英文翻译 :    logarithmic approximation
• "连分数近似" 英文翻译 :    continued-fraction approximation
• "指数近似" 英文翻译 :    exponential approximation
• "指数近似式" 英文翻译 :    exponential approximallon
• "集中参数近似" 英文翻译 :    lumped parameter approximation
• "集总参数近似" 英文翻译 :    lumped parameter approximation
• "二阶导数近似式" 英文翻译 :    second derivative approximation
• "泰勒级数近似法" 英文翻译 :    taylor's series approximation
• "近似值函数" 英文翻译 :    approximate value functions
• "近似传递函数" 英文翻译 :    approximate transfer function
• "近似方差函数" 英文翻译 :    approximate variance function
• "近似偏导函数" 英文翻译 :    approximate partial derivative; approximate partial derived function
• "近似传递函数, 描写函数" 英文翻译 :    approximate transfer function
• "对不连续函数的近似解" 英文翻译 :    discontinuous approximation
• "近似" 英文翻译 :    approximate; similar; approach; approximation; roughness; propinquity 和 ... 有些近似 be somewhat similar to ...; 一个与真实生活极为近似的情况 a situation that closely approximates real life; 烯空气跟空气十分近似。 olefin gas closely approximates air. 我和他的看法近似。 my opinions are similar to his.; 近似成本 approximate cost; 近似度 degree of approximation; 近似计算 approximate calculation; approximate treatment; numerical evaluation; proximate calculation; analog computation; 近似值 approximate value; approximation; approach
• "近似；近似法；近似值" 英文翻译 :    approximation
• "近似近似值" 英文翻译 :    approximation

• Approximation of lagrange function
  拉格朗日函数近似
• , 2002 ) . the varying coefficients model , which is the function approximation method for high dimension , is discu ssed in this paper
  本论文主要讨论的是变系数模型( thevaryingcoefficientmodel ) ，属于函数近似这一类。
• We introduce and motivate the main theme of the course , the setting of the problem of learning from examples as the problem of approximating a multivariate function from sparse data - the examples
  我们介绍且激发课程的主题将朝向于实例学习法的问题设定，例如稀疏值中多变量函数近似的问题。
• At last we provide the model with transaction costs with a view to the capital is large enough . we linearize transaction costs function to linear function , then we research the model
  在理想状态下，即投资者可以支配的资金为充分大的情况下，将交易费函数近似线性化，研究了含有交易费的证券组合投资模型。
• We look at the problem of learning from examples as the problem of multivariate function approximation from sparse chosen data , and then consider the case in which the data are drawn , instead of chosen , according to a probability measure
  并检视稀疏精选值中多变量函数近似法等这些从实例学习法所发现的问题，然后根据机率衡量，审思随机获得资料而非选定资料的案例。
• In order to calculate easily and do n ' t influence the single - chip microcomputer ' s calculate velocity , we put forward two scheme to deal with the numerical value , one is to use a simple function to close or approach a normal function f ( x ) ( mainly is lagrange ' s intepolation , newton ' s intepolation , hermite ' s intepolation , cubic spline interpolation , etc . ) the other one is function approach ( mainly is chebyshev ' s polynomic . legendre ' s polynomic , laguerre ' s polynomic , method of least squares , etc . ) , we analyze and compare the lagrange ' s intepolation and chebyshev ploynomic , at last , we select the chebyshev polynomic to do the value calculating on single - chip microcomputer
  提出了数值处理的二种方案。即用简单函数近似或逼近一个一般函数f ( x ) (主要有拉格朗日插值、牛顿插值、埃尔米特插值、三次样条插值等)和函数逼近(主要有切比雪夫多项式、勒让德多项式、拉盖尔多项式、最小二乘法等) ，对上述两个方案中的典型函数?拉格朗日插值和切比雪夫多项式进行了分析比较，最后选取切比雪夫多项式完成单片机上的数值计算。
• Furthermore , due to the symmetry restriction of traditional radial basis function networks ( rbfn ) with gaussian function , the asymmetric gaussian basis function ( agbf ) is proposed to construct the full adaptive agbfn . because the asymmetry gaussian function ' s variability and malleability are higher than the traditional one , the asymmetry gaussian basis function can provide the agbfn which own a higher flexibility and can approach the true result more easily
  针对这一问题，文中提出了一种全自适应的不对称高斯基函数网络( agbfn )结构，网络的基函数采用具有不对称宽度的伪高斯函数，和常规的高斯函数相比，具有更大的可变性和延展性，从而使得隐层神经元在函数近似上具有更高的适应性，提高了神经网络的学习能力。
• Because of the reason above , a novel pn acquisition method using auxiliary sequence and binary search is proposed . because the cross correlation between auxiliary sequence and spread sequence is linear , some search algorism can be used to estimate the phase of incoming signal quickly without increasing the complexity of system
  因为辅助序列与扩频序列的相关函数近似满足线性单调性，可以利用快速搜索算法，如：二分法，对接收信号中扩频序列的相位进行快速搜索，在保证系统复杂度不变的前提下，降低序列捕获的时间。