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Home > chinese-english > "primary algorithm" in English

English translation for "primary algorithm"

初等算法

Related Translations:
approximation algorithm:  近似算法
dentritic algorithm:  树枝状算法
placement algorithm:  布局算法
algorithm pattern:  算法图, 算法模式
internal algorithm:  内部演算法
relaxation algorithm:  松弛算法
shifting algorithm:  移位算法
vector algorithms:  矢量算法
trapezoidal algorithm:  梯形算法
tapering algorithm:  逐次减少算法锥形算法
Example Sentences:
1.In this paper , the design idea , the system composition , the theory of the primary algorithm and the function composition of every sub system are introduced mainly
本文主要介绍了“基于文件级数据加密解密应用系统”的设计思想、系统结构、主要算法的原理、各子系统的功能结构等。
2.In the parts of software discussion , it presents the primary algorithms of some fundamental functions in c language , these functions are developed for digital i / o operations , interruption management , tinier management , precise clock generator
同时,解决了在采样过程中,大量数据的快速转存。编写了实现上述功能的c语言程序。论文中还介绍了数字信号处理在系统检测中的应用。
3.This thesis has discussed several primary algorithm of speed estimation and emphasized on the algorithm of speed estimate based on mras . it worth researching duo to it has excellent robustness and little be effected by the parameter of motor
无速度传感器是当今电机控制领域的研究热点,本文讨论了几种基本的电机转速估算方法,特别是基于mras的速度辨识方法,由于其具有较好的鲁棒性,受电机参数变化影响小,很有研究价值。
4.The key problems such as the topology of spatial data , the algorithms of spatial analysis on distribution and design of the spatial decision support system based on gis are emphasized . lt is also described that power - off analysis function ' s related algorithm is deduced in terms of primary algorithm
并具体讨论了其中的几个方面,如gis的空间数据的拓扑关系及其理论与图论相结合进行配电网空间分析的算法,并在此基础上的出停电分析等的相应算法。
5.In this thesis , we study and discuss deeply data preprocessing based on rough set . first , the characteristic and shortcoming of primary algorithms about the computation of null values is analysised , and principle and target of the completation is indicated
而经典的粗集理论不能处理原始数据资料中的遗漏信息以及值域为实数的数据,需要经过数据预处理,包括数据补齐和离散化处理后才能进行知识获取,因此如何有效地进行数据预处理具有非常重要的现实意义。
6.Moreover , a strategy for imputation of null values based on changed precision model is put forward to improve anti - disturbing ability of model secondly , several primary algorithms are indrouced and discussed , the direction and target of discretization is analysised , to gain logical cuts , a method to discretize continuous attributes based on rough entropy is brought forward at last , the potential client datamining system in electronic commerce is put forward , all given algorithms is applied to the system , and compared by test results , and the new idea of this paper is simply described and some problems in this paper that need to improved on are proposed
然后,对目前流行的离散化算法进行了详细的分析和评价,指出了离散化的方向和目标,并提出了基于粗糙信息熵的离散化算法,以便在保证划分后决策表相容性的前提下,获得比较合理的划分点。最后,提出了电子商务的潜在客户挖掘系统,并将前面提出的基于粗集的算法理论应用到该系统中,同时和其他几种现有的数据补齐和离散化算法进行了实验比较和结果分析。并指出本文创新之处以及存在的问题和努力的方向。
7.Followed by the rapid extension of data size , the usage of parallel technology is a very important method to improve the efficiency of data ming . sliq uses novel pre - sorting and breadth - first techniques to build a decision tree fast and accurately on a large data set , and can deal both categorical and numeric attributes . but the primary algorithm contains the abundant computing on attribute and record
本文首先分析了串行sliq算法的原理和特点,针对其不足提出了一些改进方法,然后在基于pvm的环境下实现了算法的并行化,分析了算法的时间复杂度和加速比,提高了sliq算法的效率,具有一定的理论意义和实用价值。
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