先进的图像处理算法协助操作人员随时进行变化检测、图像分类、识别异常和跟踪活动模式。
Advanced image processing algorithms assist operators with change detection, image classification, identifying anomalies and tracking patterns of activity over time.
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.
然后可以使用这一分类自动发布被相应识别出来的模式。
You can then use the classification to automatically publish only the schema that has been identified accordingly.
模式分类是许多工程领域如自控监测、图像识别、故障诊断、物料配制、医疗诊断等领域广泛应用的一种关键技术。
Pattern classification is a kind of technology used in a lot of project fields including automatic control monitor, image recognition, troubled diagnose, supplies compound, medical diagnosis, etc.
特征提取的依据是利用有关数学工具，去掉对分类无用的信息，寻找最有效的信号特征来构成用于分类识别的模式特征向量。
The extracting process is to throw off the useless information and look for the most efficient signal feature to form a pattern feature vectors for classification with mathematics tools.
通信信号的分类识别是一种典型的统计模式识别问题。
The classification and identification of communication signal is a typical statistical pattern identification.
模式识别问题不仅与表示方法有关，也跟用于在分类器设计各个阶段进行训练和测试的用例集有关。
A pattern recognition problem is not only specified by a representation, but also by the set of examples given for training and evaluating a classifier in various stages.
目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。
Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.
试验表明，应用电子计算机对遥感数据进行森林模式识别分类是可行的，方法灵活多样，而且精度可以保证。
It has been shown that it is feasible to classify the forest model identification by processing the remote sensing data with computer, which has high accuracy.
决策树学习策略广泛应用于模式识别和机器学习等领域，用来解决与分类相关的问题。
Decision tree learning strategy have long been popular in pattern recognition, machine learning, and other disciplines for solving problems concerned with the classification.
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.
然后利用BP神经网络的模式分类功能，进行了螺栓松动程度的损伤识别研究。
Then damage identification of severity of bolt looseness was studied by utilizing the pattern classification function of the BP neural network.
根据模式识别二维分类图，很好地预报了不同活性的催化剂。
According to two dimension classification figure of pattern recognition, catalysts with various activities have been well predicted.
针对雷达转发式欺骗干扰中的距离欺骗，提出了一种基于模式分类来识别目标与干扰的方法。
Aiming at the deception in distance of radar's transmitting deceptive jamming, this paper advances a method, based on mode classification, to recognize the object and jamming.
用所获得的特征值进行SVM模式识别，得到不同熔滴过渡的电弧声能很好地进行分类和辨识，实现了基于电弧声对熔滴过渡类型进行快速识别。
SVM pattern recognition with the feature value can classify arc sound in different metal transfer mode and realize fast recognizing metal transfer mode by arc sound.
实验结果表明，这种方法可以对金属断口模式进行准确的识别与分类。
A new method of recognition and classification of metal fracture surface models based on wavelet transform is presented in the paper.
该文介绍了BP网络的学习过程以及从模式识别角度应用BP神经网络作为分类器进行机械故障诊断。
The paper introduces the studying process of the BP network and USES the BP network for the mechanical failure diagnoses as assorted organ in the mode identification.
自组织特征映射是一种人工神经网络方法，可以同时实现模式识别和数据分类。
Self Organizing Map is a method of artificial neural network, which implements pattern recognition and data clustering simultaneously.
提出了一种综合模糊技术与神经网络技术对基于控制图的趋势模式进行自动分类识别的智能方法。
An intelligent method is proposed which ADAPTS a synthetical technology of fuzzy logic and neural network to identifying trend pattern in control chart.
本文主要研究了矩函数和神经网络分别在图像识别的特征提取和模式分类方面的应用。
In this paper we look into the application of moment function and neural network in feature extraction and pattern classification of image recognition respectively.
把某一图像的某种特征进行度量并交给分类器，是模式识别的重要环节。
Measure some feature of one image and take it to classifier, this is an important step of pattern recognition.
模式识别中分类树方法可用于提高模式分类的速度。
Classification trees are often used in pattern recognition to speed up the classification.
目标识别技术属于模式识别理论的研究范围，其关键在于特征提取和分类器的设计。
The target identification technology belongs to the research scope of the pattern recognition, its key lies in the characteristic withdraw and the sorter design.
针对电梯群控调度中的交通流模式识别问题，提出了一种基于多值分类支持向量机的电梯交通流模式识别方法。
Aiming at the pattern recognition of traffic flows in elevator group control systems, a method based on the multi-value classification SVM (Support Vector Machine) is put forward.
测井综合解释过程中的井层判别可看成是一个模式识别和分类问题。
The layer recognition in the process of integrated logging interpretation can be regarded as a classification problem based on pattern recognition.
测井综合解释过程中的井层判别可看成是一个模式识别和分类问题。
The layer recognition in the process of integrated logging interpretation can be regarded as a classification problem based on pattern recognition.
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