• 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。

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  • Shape recognition of object is important research direction in pattern recognition, and is widely used in image analysis, machine vision and target discrimination.

    物体的形状识别是模式识别的重要方向,广泛应用于图像分析、机器视觉和目标识别等领域。

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  • The image segmentation, which is the first essential and fundamental issue in the image analysis and pattern recognition, is a classical difficult problem in the image processing.

    图像分割是图像分析和模式识别需要解决的首要问题和基本问题,也是图像处理的经典难题。

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  • The principles of processing and analysis of sensor array responses are essentially similar, thus to some extent, the algorithm of pattern recognition is universal.

    对传感器阵列响应的后续信号处理分析的原理基本相同,因此,模式识别算法一定程度上具有通用性。

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  • The hybrid index hierarchy fuzzy decision-making method is proposed on the basis of the idea of hierarchy analysis, the fuzzy pattern recognition technique and the fuzzy consistent matrix.

    应用层次分析的思想和模糊模式识别方法,在引入模糊一致判断矩阵的基础上,提出了混合指标层次模糊决策方法。

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  • In this review some basic concepts and principles of chemical pattern recognition technologies are introduced, as well as some advances and applications in pharmaceutical analysis.

    介绍化学模式识别技术的一些基本概念和原理,以及在药物分析中的应用与研究进展。

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  • System for sorting and recognition of anomalies in multivariate field was developed using statistical analysis, pattern recognition and computer graph technique.

    多变量场异常划分和识别系统,是运用统计分析、模式识别和计算机图形技术研制而成的。

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  • We have achieved excellent effect in part classification according to the actual conditions of factories, alternately using the method of cluster analysis and pattern recognition technique.

    作者交替运用聚类分析与模式识别法,并结合工厂的实际情况,取得了很好的分类效果。

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  • 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。

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  • Under the application of image segment and clustering analysis methods into 8fsk signal's spectrum analysis, a demodulation algorithm based on pattern recognition is proposed.

    通过把图像分割和聚类分析方法应用于8fsk信号的频谱分析,提出了基于模式识别的解调算法。

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  • Image registration is a foundation problem in image processing. It is widely used in computer vision, pattern recognition, medical image analysis and remote sensing image analysis.

    图像配准是图像处理的一个基础问题,它广泛应用于计算机视觉、模式识别、医学图像分析、遥感数据分析等领域。

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  • A number of supervised and unsupervised pattern recognition techniques have been proposed in recent years for the tissue segmentation and quantitative analysis of magnetic resonance images.

    近年来提出了许多监督和非监督模式识别技术用于磁共振图象的组织分类和定量分析。

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  • Hence, micro seismic facies analysis can be successfully achieved using interactive interpretation system plus fuzzy dynamic clustering and pattern recognition.

    据此。本文应用模糊动态聚类和模式识别相结合的方法,在人机交互解释系统上自动实现微地震相分析。

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  • Based on the analysis of wear particles of diesel engine, a pattern recognition method of the wear mode of diesel engine was originally put forth, by combining rough sets theory and fuzzy theory.

    在总结柴油机磨损模式的磨粒分析基础上,首次提出在柴油机磨损模式识别中采用基于粗集和模糊理论相结合的模式识别方法。

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  • Shape recognition of object is one of the important directions in pattern recognition, and is widely used in image analysis, machine vision and target discrimination, etc.

    物体的形状识别是模式识别的重要方向之一,广泛应用于图像分析、机器视觉和目标识别等领域。

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  • Currently the AFS theory has been applied in the many realms successfully, such as cluster analysis, pattern recognition and hitch diagnosis etc.

    目前已经将AFS理论成功的应用在聚类分析、模式识别和故障诊断等领域。

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  • Based on the analysis of the fundamental concepts of pattern recognition, the paper Outlines five basic methods in pattern recognition generally, analyzes them and compares them.

    在分析模式识别基本概念的基础上,概述了模式识别中的五种基本方法,并对各种方法进行了分析和比较。

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  • Texture analysis plays an important role in image analysis and pattern recognition, and texture description is a basic research topic of texture analysis.

    纹理分析在图象分析和模式识别中起着非常重要的作用,而纹理描述又是其中一个基础的研究课题。

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  • The technology of using image analysis and pattern recognition to implement the non-touching automatic billet cut-to-length is mainly introduced.

    运用图像分析和模式识别技术,实现非接触式的方坯自动定尺切割。

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  • A linear analysis and pattern recognition method to detect and analyze dynamic cardiogram QRS wave are applied I this paper and an effective method for HRW analysis system is introduced.

    采用线性分析和模糊模式识别理论,对动态心电图QRS波形进行检测和分析的算法进行了语法描述,并在此基础上给出了心率失常分析系统实现的具体方法。

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  • Such new variable is tested by pattern recognition for saturated alcohol and ether, combined with block variables' orthogonal computation and canonical correlation analysis.

    联合块变量正交化和典型相关分析方法,以饱和醇醚的模式识别模型对变量进行了验证。

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  • 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。

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  • The reservoir distribution and its features are demonstrated by seismic dual porosity inversion and reservoir pattern recognition based on modeling analysis.

    在参数模型研究的基础上,采用双孔隙度反演和油藏模式识别技术对储层分布和油藏特征进行了进一步的描述和分析。

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  • 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。

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  • 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。

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  • 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。

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  • In analysis and pattern recognition of petrographical images, 3d object reconstruction is an important research.

    在石油地质图象分析和模式识别中,三维物体重建是很重要的研究。

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  • As one of the most important and typical problems in image processing and computer vision fields, image segmentation is the basic premise in image vision analysis and pattern recognition.

    图像分割是图像处理与计算机视觉领域低中最基础和重要的领域之一,是图像进行视觉分析和模式识别的基本前提。

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  • It provides rich methods for pattern analysis, signal processing, syntactic pattern recognition and other pattern recognition fields.

    它提供了非常丰富的方法,可以应用在模式分析、信号处理、句法模式识别和其它模式识别领域。

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  • Mathematical morphology is a method of image analysis and processing based on the non-linear theory, and widely applied in image processing and pattern recognition.

    数学形态学是基于非线性理论的图像分析处理方法,已广泛应用于图像处理和模式识别中。

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