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常规算法的英文

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"常规算法"怎么读用"常规算法"造句

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  • conventional algorithm

例句与用法

  • Firstly , the conventional methods of steady state and transient problems are reviewed
    首先回顾稳态问题和瞬态问题的常规算法
  • 3 . comparing and analyzing the performance , the ber , the advantages and
    3 、分析比较以往常规算法和所采用的算法的性能、误码率和优缺点。
  • Most of the target tracking algorithms is normal ones without consideration of ecm in our research
    目前国内对电子对抗下的目标跟踪算法研究较少,一般都是常规算法
  • An improved algorithm has been developed according to the problems of the conventional algorithm for wellbore heat loss
    摘要针对井筒热损失常规算法存在的问题,设计了改进算法。
  • Because of the complexity of question and the limitation of traditional methods , computational intelligence is developed
    实践证明,本方法是可行且有效的。由于问题的复杂性和常规算法的局限性,计算智能应运而生。
  • In normal algorithms , the measurements are modeled as the true values plus independent gaussian errors , which is not according with the ture condition in ecm
    常规算法中,对雷达的观测值通常是目标位置的真实值加上独立的高斯白噪声,在ecm下,这种观测模型是不符合实际情况的。
  • Any process graph can be edited and shown dynamically . the conventional control algorithm configuration can he fulfilled and generated executable file can he sent down to the dcs control station
    它可以编辑任意流程画面,并实现动态显示;还可以进行常规算法组态,生成的文件可以下装到集散控制系统的现场控制单元。
  • Any process chart can be edited by it and shown on it dynamically . the conventional control algorithm configuration can be fulfilled and generated executable file and can be sent down to the dcs control station
    它可以编辑任意流程画面,并实现动态显示;还可以进行常规算法组态,生成的文件可以下装到集散控制系统的现场工作站。
  • Among several theoretical methods proposed for photonic crystals , the plane - wave expansion method ( pwm ) is the one that was proposed first and is used most commonly . however , it has the disadvantage of slow convergence
    平面波算法是光子晶体的常规算法,它是已有光子晶体算法中提出最早、应用最广的算法,但平面波算法具有慢收敛的缺点。
  • Svm is a kind of universal learning algorithm , which developed from statistical learning theory , that is , small sample learning theory proposed by vapnik . it can represent complicated functions especially in high dimensions , which can avoid the trouble of the dimension tragedy that happened in general algorithm . it also will not affect the system performance by using original data of the array for the eigenvector directly
    支持向量机是由vapnik等人提出的小样本统计理论? ?统计学习理论发展而来的一种新的通用学习算法,特别在高维空间中表示复杂函数,避免了常规算法“维数灾难”等麻烦问题,可直接用阵列原始数据作为特征向量而不影响系统性能。
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