Software service and data design and analysis, on the other hand, is generally performed by modelers who have been exposed to repositories and the usual parallel development pattern.
另一方面，软件服务和数据设计和分析，通常是由那些暴露于存储库和并行开发模式下的建模者来执行。
Key AXIS PRO features include data management, geospatial analysis, link analysis, pattern analysis, and text extraction.
AXISPRO的关键功能包括数据管理、地理空间分析、链接分析、模式分析和文本提取。
This neural network pattern recognition can be applied to feature extraction, clustering analysis, edge detection, signal enhancement and noise suppression, data compression, such as various links.
这样神经网络可应用于模式识别的特征提取、聚类分析、边缘检测、信号增强以及噪声抑制、数据压缩等各个环节。
Solar studies and simulations were used to generate data regarding daylighting, shadow analysis, rainfall pattern and shading systems.
太阳能研究与模拟被用来生成关于采光、阴影分析、降雨方式和遮阳系统的数据。
For quantitative analysis of automobile reliability based on its reliability data collected, it is necessary to recognize the distribution pattern of data in advance.
根据汽车可靠性工程数据，对其进行可靠性定量分析时，应该首先判别可靠性数据的分布规律。
This paper introduces the pattern of data stream and processing through researches on the operational method, information administrative mode of electric cable and requirement analysis.
在对电力电缆运行方式、信息管理模式进行调研和需求分析的基础上，给出相关的数据流向和加工方式。
Statistical pattern recognition, with applications to face recognition, data analysis with microarray.
统计模式识别，及在面像识别，基因数据分析中的应用。
Exploratory data analysis separates pattern and characteristic from data and shows powerfully them to the analyst.
探索性数据分析分离出数据的模式和特点，把它们有力地显示给分析者。
This paper raised a method of pattern recognition, it can be used to the continuous speech recognition with reference, text understanding and data file analysis.
提出一种模式识别方法，它能有效地用于有监督的连续语音识别、文稿理解和数据文件分析。
First of all, a fault pattern bank is formed through historical data analysis and process knowledge.
首先，通过历史数据分析和过程知识，建立故障模式库。
Currently, RST has been applied in many fields as artificial intelligence, machine learning, data mining, decision support and analysis, process control, pattern recognition, fault detection.
目前，粗糙集理论已被成功地应用在人工智能、机器学习、数据挖掘、决策支持与分析、过程控制、模式识别、故障检测等领域。
Clustering can analyse the data effectively, which has a wide use in many fields, such as data mining, numerical analysis and pattern recognition.
聚类可以对数据进行有效分析，在数据挖掘、数值分析、模式识别等领域有着非常广泛的应用。
Cluster analysis is one of the means of multivate analysis and is widely used in pattern recognition, data mining and decision analysis etc.
聚类分析是多元统计分析的方法之一，广泛的应用在模式识别，数据挖掘和决策分析等领域。
Representation the high-dimensional data in a low-dimensional subspace is one of the fundamental problems in data analysis, pattern recognition, machine learning, and computer vision.
在低维空间描述高维数据是数据分析、模式识别、机器学习、计算机视觉等领域的基础问题之一。
Computer analysis of the data identified a pattern of miRNAs that were present at increased or decreased levels in pancreatic tumor tissue compared with normal tissue.
计算机分析这些数据后鉴别出了一种miRNA表达模式，表现为胰腺肿瘤组织与正常组织相比各种不同miRNA表达水平的升高或降低。
In this paper, the main tectonic process of the Tangshan earthquake sequence was studied by comprehensive analysis of geological structures, seismicity pattern and focal mechanism data.
本文采用地质构造、地震活动图象、震源机制资料综合分析方法，对唐山地震序列主要的构造过程进行研究。
We have made the data collection and analysis system for recording microcracks in rock to study the three dimensional pattern of fracture and the dynamic properties of rock during pressurization.
为了研究岩石加压过程的三维破裂图象和它的动力学性质，特研制了岩石破裂实验数据采集分析系统。
Then the lithofacies database is built up. An analysis of the feature extraction and data Whitening for well log is made, and the pattern recognition given can sercen variables automatically.
文中分析了测井数据的特征提取、数据白化等关键问题，给出的模式识别具有自动筛选变量的功能。
Based on the analysis of data measurement error sources in industrial process, this paper presents a data preprocessing method which is based on pattern recognition.
在分析工业过程数据测量误差源的基础上，提出了一种基于模式聚类的数据预处理方法。
Under this pattern, business and management analysis of various Banks basically relies on feedback data from report forms and CS2002 system developed by headquarters and so on.
在这种模式下，各行对于经营管理分析基本上依赖于报表返传数据以及总行开发的CS2002等系统。
A fringe gray level method can be used to automate the data collection, analysis and display of isochromatic-fringe pattern in photoelasticity.
条纹灰度法在光弹性中能自动采集数据、分析和显示等色线条纹图。
As an important unsupervised pattern recognition tool clustering analysis has been used in diverse fields such as data mining, biology, computer vision, document analysis.
聚类分析作为一种重要的非监督模式识别工具，可用于多种领域，如数据挖掘、生物学、计算机视觉、文档分析等。
For practical application, FPLS is used for pattern recognition and quantitative analysis of HPLC diode array detector data. It is shown that FPLS has the...
在模式识别和高效液相色谱二极管列阵的数据分析中应用快速PLS，证明它们能极大地加速运算速度。
The main task of data mining includes correlation analysis, cluster analysis, classification, prediction, time-series pattern, deviation analysis and so on.
数据挖掘的任务主要有关联分析、聚类分析、分类、预测、时序模式和偏差分析等。
Particularly, the data provided for study and analysis on mechanical performance can offer reference for structural design of suspension bridge and proper selection of major cable line pattern.
特别是提供的力学特性研究分析数据可为悬索桥结构设计、合理选择主索线型具有一定的参考价值。
Analysis of the population data from the field by using the method of spacial distribution index indicates that the spacial distribution pattern of eggs was of aggregation type.
用空间分布型指数法对调查数据进行测定，田间卵的空间分布为聚集分布型。
Objective To collect data for future nutrition health education, analysis of food intake and dietary pattern of 89 middle-aged or old patients with hyperlipidemia at our bureau.
目的通过调查分析中老年高脂血症患者膳食摄入情况及膳食结构，为今后营养健康教育提供依据。
Clustering is an important means to analyze genetic data. This paper focuses on the cluster analysis of gene chip data, including partitioned clustering and pattern-based approach.
聚类分析是基因数据分析中的一种重要手段，本文主要内容包括基于划分的聚类算法的改进以及模式聚类的理论研究。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
Principal component analysis (PCA), cluster analysis (CA) and back-propagation artificial neural network (BP-ANN) were used in the data analysis and pattern recognition.
通过主成分分析、聚类分析和BP神经网络对实验数据进行了分析和识别。
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