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Additionally, this algorithm can also be used to other pattern classification problems in power systems. 同时，该算法也可用于电力系统中的其它模式分类问题。
Pattern classification of flaw is carried out with BP neural network and the feature selected. 利用BP神经网络分类器及选择的特征值对缺陷进行了模式分类。
R. O. Duda and P.E.Hart,Pattern Classification and Scene Analysis. New York:Wiley,1973. 杨永钦，预测模型在税务选案上之比较，静宜大学会计学系硕士论文，2002。
Richard, O.D., E.H.Peter, and G.S.David, “Pattern Classification,” Join Wiley and Sons, Second Edition, New York, NY, USA, 2001. 许文豪，“图形辨识概述与实作”，硕士论文，国立清华大学资讯工程系，民89。
Duda, Richard O., Peter E.Hart, David G.Stork, “Pattern Classification”, 2nd Edition, John Wiley &Sons, Inc., New York, 2001. 郭麟霂，2000，寒带沼地高光谱影像分类之研究，国立交通大学土木工程学系硕士论文。
The orientation information has been used in image enhancement, binarization, segmentation, pattern classification, image compression etc. 图像的增强、二值化、分割、模式分类以及压缩等许多地方，都用到了方向信息。
The underline idea is to use the feature information sufficiently and to design the DTD with pattern classification method. 主要的思想是充分地利用特征信息以及用模式识别方法来设计DTD。
Finally,two pattern classification examples from the UCI machine-learning databases are used to verify the above method. 最后，通过UCI机器学习数据库中的两个模式分类例子验证方法的有效性。
Although the research history of pattern classification techniques is quite long, users require for more accurate classification result and more smaller computing load now. 虽然模式分类技术的研究历史比较长，但随着遥感技术的发展，用户的要求也越来越高，不断需要遥感模式分类技术能够提供更好的结果，同时也促进了模式分类技术的发展。
In our institute, a set of advanced signal processing and pattern classification methods has been developed and was awarded as winners of the international BCI competition. 本研室所建立了一套先进的神经信号处理和模式分类方法，在国际脑-机接口数据竞赛中获得多项第一；
The experiments on several pattern classification problems show that HS-LSSVM has high sparseness while holds good classification performance and its sparse process is fast. 对多个分类问题的测试表明，HS-LSSVM具有稀疏率高，分类性能强，且稀疏化速度较快等优点。
Part II describes algorithmic aspects of speech recognition systems including pattern classification, search algorithms, stochastic modelling, and language modelling techniques. 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。
Because of the capabilities in pattern classification and complex function approximation, artificial neural network models are being widely applied to oil and gas industry. 其模式分类能力和复杂函数逼近能力，正被广泛应用于油气勘探信息的定性和定量评价中。
For structural damage identification in bridge health monitoring, feature extraction of damage pattern classification was proposed and analyzed, and two feature exaction methods based on wavelet packet (WP) node energy were presented. 摘要针对桥梁健康监测中结构损伤识别的特点，从模式识别的角度提出和分析了损伤特征提取问题。
The successful applications on face detection and demographicclassification show that the LUT weak classifier based real AdaBoostalgorithm is a very efficient image pattern recognition method, especially forface pattern classification related problems. 在人脸检测和人口统计学分类问题上的成功应用表明，基于查找表型弱分类器的连续 AdaBoost 方法是一种高效的图象模式识别方法，尤其适用于与人脸模式分类相关的问题。
Based on the method of decision analysis and the concept of pattern classification complexity, class separability of the range profiles of aircraft-type targets offered by the high resolution radar is discussed in this paper. 利用决策分析方法和模式分类复杂度的概念，对高分辨雷达飞机目标的原始距离像、平均距离像以及付氏变换距离像的类别可分性进行了讨论。
Bayesian network is a new pattern classification graph model based on Bayesian statistics, it is an intelligent tool that can integrate prior knowledge and sample information in classification and causality discrimination for data processing. 贝叶斯网络是在贝叶斯统计基础上发展起来的新的模式分类方法，它提供了一种可以同时利用先验知识和样本信息进行分类和判别因果关系的遥感数据处理工具。
For the problem of unbalanced data classification was not discussed in the pattern classification via single spheres (SSPC), a classification method for imbalance problem was proposed. 摘要针对一个球的模式分类(SSPC)方法没有考虑样本分布不平衡的问题，提出一种不平衡数据的分类方法。
The problem that d eficiency of field knowledge leading to a great deal of irrelevant rules is solv ed by applying aggregation emerging patterns classification. 通过采用聚集显露模式分类,克服了因领域知识不足而导致的大量不相关规则的问题。
A tree classifier used for QRS complexes pattern classification has the characteristics of rapid classification and marking off a great number of different patterns. 用于QRS波模式分类的树分类器具有分类速度快、区分模式多等特点。