本算法提高了模式分类算法的辨识率。
This algorithm improves the recognition rate of pattern classification algorithms.
因为大多数模式分类算法与信号的形状密切相关，而信号的形状很大程度上随检测频率的变化而变化。
Most pattern classification algorithms rely heavily on the shape of the signal, which can vary considerably with frequency.
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.
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.
第二部分讲述语音识别系统中的有关演算法，包括模式分类，查找演算法，随机模型，语言模型等技术。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques.
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.
基于梯度下降的神经网络训练算法易于陷入局部最小，从而使网络不能对输入模式进行准确分类。
Neural network BP training algorithm based on gradient descend technique may lead to entrapment in local optimum so that the network inaccurately classifies input patterns.
试算结果表明，对需求点分类后，应用遗传算法可有效解决联合物流模式的车辆调度问题。
The trial calculation results show that vehicle routing problem for logistics alliance model can be solved efficiently by the improved hybrid algorithm through the classification of the demand points.
提出一个基宽度可调的RBF神经网络学习算法，并将它应用于个股走势模式的分类问题。
This paper presents a learning algorithm for a RBF neural network with adjustable radial basis width and discusses its application in the classification problem of share tendency patterns.
在分析了构件刻面分类模式和树映射相关理论的基础上，提出了一个新颖的叶节点包容匹配模型，并给出了相应的检索算法。
Based on faceted classification schema and theory of tree mapping, a novel matching model named leaf node containment matching model and correspondence retrieving algorithm are put forward.
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.
本文还对于在相似性查询过程中必要的环节如匹配模式、分类算法和查询中可能存在的问题作了详细地分析。
The thesis also discusses the necessary junctures such as the matching model, algorithms of classification and some possible problems in details.
提取网络入侵模式所用的主要有分类算法、关联规则算法和序列规则算法等。
Major methods to distill network intrusion mode are class algorithm, association rule algorithm and frequent episodes algorithm.
该方法借鉴了神经网络理论、模糊聚类算法和自适应模式识别法的优点，自动完成样本的分类与样件设计工作。
Based on the theory of neural networks, fuzzy clustering algorithm and adaptive pattern recognition, the method can be used to classify and design the sample workpiece automatically.
随机树分类算法是一种有监督学习的模式识别分类算法，可有效地应用于增强现实系统中的特征识别与匹配。
Randomized tree is a supervised classification algorithm for pattern recognition, which can be effectively used in augmented reality feature recognition and matching.
大部分数据挖掘工具采用规则发现和决策树分类技术来发现数据模式和规则，其核心是归纳算法。
Most data mining tools use rule discovery and decision tree technology to extract data patterns and rules; its core is the inductive algorithm.
对模型的优化，引入了分种群的竞争模式，采用基于种群分类的进化算法。
The introduction of competition pattern in the sub-population is to optimize the model, and it has used evolutionary algorithm based on population category.
本文从构件的刻面分类模式出发，针对构件检索的特点，结合树匹配模型思想，在构件树路径匹配算法的基础上提出一种改进算法。
This paper give an improved algorithm which based on path containment matching algorithm and combined with the features of faceted classification scheme and the theory of tree matching.
本文从分析主属性在关系模式中的特点出发，在模式矩阵及其分类的基础上，给出了一个基于矩阵的关系模式主属性的判定算法。
Following analysing the traits of the prime attribute in relation schema, an algorithm based on matrix to solve the prime problem is proposed in this paper.
这些经典的语音识别算法是基于模式匹配的方法实现，这使其在语音分类中的性能受到挑战，尤其是在对相近的中文姓名语音的分类中。
These classic algorithms are based on pattern matching, this causes decline of the performance especially in classification of similar Chinese name speech patterns.
提出一种H . 264编码中帧间模式选择的算法，利用帧与帧之间的时间相关性并提出通过模式识别中统计分类的方法对帧间宏块模式进行分类。
In this paper, we have proposed an inter-mode selection algorithm for H. 264, which is based on the time-relativity of the neighboring frames and adopts the idea of statistic classification.
该算法的有效性已由计算机仿真实验所证实，可被认为是一种很有发展前途的模式分类系统的机器学习算法。
Its effectiveness has been testified by computer simulating experiment and it can be regarded as a promising machine learning for the pattern classification system.
文章在深入分析基本BP算法的基础上，采用四层BP网络，利用误差逆传播学习方法实现了对模式的分类。
This paper classifies patterns by using four-layer BP network and the learning method of error inverse propagation.
然后，通过设计的模糊推理规则进行模式的分类，这种分段线性分类器的设计提高了算法线性分类的能力。
Then patterns are categorized by the designed fuzzy inference regulation. The design of this piecewise linear classifier enhances the ability of linear classification of the algorithm.
方法将模式识别中的I SODATA聚类引入到中值滤波算法中，将分类的结果作为参数来确定如何进行中值滤波，以及是否需要进行中值滤波处理。
The result of clustering was set as the parameters to decide if median filter was necessary and when it was, how the process was to be carried out.
方法将模式识别中的I SODATA聚类引入到中值滤波算法中，将分类的结果作为参数来确定如何进行中值滤波，以及是否需要进行中值滤波处理。
The result of clustering was set as the parameters to decide if median filter was necessary and when it was, how the process was to be carried out.
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