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data preprocessing中文是什么意思

  • 数据预处理

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  • 例句与用法
  • Then , in order to resolve the problem of network delay , this paper studied the transaction recognition step of data preprocessing and proposed an improved time - window based transaction recognition method
    同时,本文分析了数据准备中的事务识别步骤,针对网络延时的问题,提出了改进的基于时间窗口的事务识别方法。
  • We expatiate such primary question as the goal , rules to design adaptive web site and collection of sourse of data for mining . we describe the algorithm and processes of user access pattern , and presents a data preprocessing model
    给出了系统体系结构,阐述了系统实现的目标、设计所遵循的原则和源数据的收集等主要问题描述了系统挖掘用户访问模式的过程和算法。
  • Because the current business process system contain various data source in tax administration system , this thesis comprehensively gives to the strategy of realizing concerning to data cleaning , integration , transformation and data load in data preprocessing
    由于在税务系统当前的业务处理系统有多种数据源,本文重点给出了实现数据预处理中的数据清理、集成、转换和数据装载的相应策略。
  • Then , the conception of smart sensor is introduced for multi - sensor system design to improve systemic characteristic including : flexibility , universality , extendability , extendability , data preprocessing , self - adjustability , data transmission by bus , and so on
    然后本文提出了多传感器系统的底层传感器模块应具有通用性、可扩展性、对上层接口透明、开发传承性、初级预处理和基于总线的数据传输等设计要求。
  • In this thesis , the whole process of reverse engineering is integrated and completed , including data collecting , data preprocessing , curve fitting , surface reconstructing , mold designing and fast manufacturing . the main concepts of the thesis are followed : 1
    论文从逆向工程集成的角度出发,对基于线结构激光测量的曲面数据采集及预处理、曲线拟合、曲面重建,及在此基础上进行的注塑模具设计及快速制造理论与应用进行了研究与实践。
  • Data preprocessing refers to the process of polygonization , smoothing , decimation and registration . the flow and main steps of data preprocessing are described here . several specific cases , for example the sampling method based on chordal deviation , the feature based registration , are discussed
    本文研究和讨论了点云预处理的基本流程和主要步骤,研究点云光顺的高斯滤波,中值滤波和平均滤波方法、点云精简的弦高差算法和多视点云特征对齐的方法。
  • 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。
  • Author also discusses how to improve the generalization of neural network . the two methods for improving generalization , " regularization " and " early stopping " are presented . the data preprocessing techniques , which can improve the efficiency of network training , are also discussed
    论述了bp神经网络在应用中的问题,包括提高神经网络的泛化能力的两种方法:规则化方法和训练早期停止方法,以及各种数据预处理方法和神经网络的拓扑结构的确定问题等。
  • After analyzing the desulfuration techniques , this dissertation optimizes the desulfuration static model through the effective data preprocessing and generalized genetic algorithm . the performance of the improved model proves better than traditional rbf model by the experiments
    本文在分析脱硫工艺的基础上,通过有效的数据预处理和广义遗传算法,优化了rbf神经网络脱硫静态模型,通过测试,模型预报精度好于传统rbf神经网络模型,具有一定的实用性和推广性。
  • Applying the interactive volume rendering algorithm as the core technology and combining other computer visualization and image processing technologies , a way of visualizing the volume data obtained by confocal microscopy has been set up . related techniques include confocal data preprocessing , rendering the specimens " surface structure by the marching cube algorithm , rendering the specimens " internal structure by the interactive volume rendering algorithm , 4d dynamic visualization and a series of interactive technologies . furthermore a system dataset is built to manage volume data , preprocess results , rendering results and analytic results
    本研究以交互体绘制算法为核心并结合其它三维可视化技术和图像处理技术,形成了一整套比较完善的共聚焦图像可视化的方法,包括:共聚焦数据的预处理、基于marchingcubes算法的样本表面绘制、基于交互体绘制算法的样本内部结构的可视化、四维动态可视化以及一系列交互分析手段,同时采用系统数据库对体数据及其预处理结果、可视化结果和交互分析结果进行管理,从而建立了共聚焦显微图像三维可视化与分析系统。
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Last modified time:Thu, 14 Aug 2025 00:29:56 GMT

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