研究了面向星敏感器的星模式识别算法。
In the article the star-pattern recognition algorithms for a star tracker are studied.
基于上述模型进行的脱机手写模式识别算法说明了其有效性。
The model is effective when applied to the off-line handwritten recognition algorithm.
本文还提出了一种新颖的模式识别算法用于移动机器人的自主避障。
This paper also presents a novel pattern recognition algorithm that is used to achieve autonomous obstacle avoidance of a mobile robot.
首先简述了研究星模式识别算法的必要性和现有的星模式识别算法。
Firstly, the article briefly stated the need to study star pattern recognition algorithm, and some kinds of star pattern recognition algorithms in existence were introduced.
说明：多种模式识别算法的介绍，包括PCA,MPCA,LLE等。
Several pattern recognition algorithm is introduced, including PCA, MPCA, LLE etc.
为了避免复杂的模式识别算法，我们用条形码标记环境中的重要物体帮助识别。
The user could recognize objects from the speech and locate the objects with the stereo information.
同时，系统采用了先进的图像处理和模式识别算法，以提高系统对缺陷的检出率和识别率。
Advanced algorithms of image processing and pattern recognition are adopted to improve detection rate and classification rate of defects.
电子鼻又称人工嗅觉系统，主要由气体传感器阵列，信号预处理单元，模式识别算法三个部分构成。
E-nose, also called artificial olfactory system, is mainly composed of a gas sensor array, a signal preprocessing unit and a pattern recognition algorithm.
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。
The principles of processing and analysis of sensor array responses are essentially similar, thus to some extent, the algorithm of pattern recognition is universal.
此工具同时分析插件配置和对应的跟踪文件，然后应用模式识别算法，以便向用户发出有关可能的不一致性的警报。
The tool parses both plug-in configuration and corresponding trace files and then applies pattern recognition algorithms in order to alert users of possible inconsistencies.
提出了一种基于核的多类别模式识别算法(简称核子空间法，KSPM)，依据此算法建立了多故障分类器。
A novel multi-class classifier with kernels, namely kernel Subspace Methods (KSPM), was presented, and a multi-fault classifier based on the algorithm was constructed.
结合模糊c均值算法(FCM)与模糊最小最大神经网络算法，提出一种基于超长方体集的模糊模式识别算法。
Based on fuzzy C-Means algorithm (FCM) and fuzzy Min-Max Neural Networks, an integrated algorithm for fuzzy pattern recognition using hypercube set was proposed.
JSLSCAD利用复杂的模式识别算法，可以探测、分类、鉴定化学战剂，同时还可以识别自然的和人造的战场干扰物。
Using sophisticated pattern recognition algorithms, JSLSCAD detects, classifies, and identifies chemical agents while discriminating against both natural and manmade battle space interferents.
重点介绍基于推导出的网络树拓扑模式识别算法与图形生成算法所设计的具有工程使用功能的计算机辅助拓扑识别应用系统。
This paper mainly introduces the applying system of the computer aided network tree pattern identification designed based on the algorithms of the network tre…
它在智能化机器人领域的应用主要涉及的两个方面：机器人视觉图象处理和模式识别，机械手控制算法。
There have two aspects of the applications of ANN in intelligentize robots: image processing and mode recognition of robotic vision, the control algorithm of manipulators.
迭代最优化算法是模式识别中一种重要方法。
The iterative optimization algorithm is an important method in pattern recognition.
针对汽温控制系统提出了一种基于动态过程模式识别的控制算法。
Based on pattern identification of dynamic process, a kind of control algorithm for steam temperature is introduced.
实验结果揭示了所提算法是解决大规模模式识别问题的一个有效且具有良好前景的方法。
Experimental result show that the proposed algorithm is competent and has well prospects to this set of problems.
支撑矢量机是一种普适的算法，已经广泛地用于模式识别、回归估计、函数逼近、密度估计等方面。
SVM is a kind of general learning algorithms, which has been widely used in pattern recognition, regression estimation, function approximation, density estimation, etc.
粗糙集理论最初在人工智能的某些分支，例如推理，自动分类，模式识别，学习算法等的研究中是很重要的。
The rough set concept can be of some importance, primarily in some branches of artificial intelligence, such as reasoning, automatic classification, pattern recognition, learning algorithms, etc.
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。
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.
文章在综合利用模糊模式识别剔除噪音信息和BP神经网络拟合优势的基础上，设计了模糊神经网络新算法。
The paper comprehensively USES the superiority of fuzzy pattern recognition over rejecting noise information and BP neural network on simulation to design a new algorithm named fuzzy neural network.
原始的非线性维数约减算法是无监督的，不能直接用于模式识别。
The original nonlinear dimensionality reduction algorithms are non-supervised, which can't directly be applied in pattern recognition.
该方法利用模式识别中的近邻准则，使用元胞蚂蚁算法实现故障的分类，达到故障诊断的目的。
The method realizes classification of fault by near-neighborhood criteria of pattern recognition and cellular ant algorithm.
模糊c -均值聚类是模式识别中的重要算法之一，很早就被应用到图像分割中。
Fuzzy C-means clustering is one of the important learning algorithms in the field of pattern recognition, which has been applied early to image segmentation.
依据计算机图形学、数字图像处理和模式识别理论，并结合地质等值线图的特点，给出了一种图像智能跟踪算法。
Based on theories of Computer Graphics, Digital Image Processing, Pattern Recognition and combined characteristic of geological contour-map, we present one kind of intelligent tracking algorithm.
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。
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.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
支持向量机是一种基于统计理论的机器学习算法，在解决小样本、非线性及高维模式识别中有独特的优势。
Support vector machine is a kind of machine study algorithm based on statistic theory, it has special advantage in solving small sample, non-linear and high dimension mode recognition.
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