Moreover, the design procedure of the pattern recognition is presented and the corresponding pattern classifier is established.
文中介绍了电梯交通流模式识别的设计流程，并建立了相应的电梯交通流模式识别器。
An intelligent pattern classifier with B-P neural network is used in recognition of those five kinds of AE signals successfully.
采用B - P型反向传播神经网络构成的智能化模式分类器，对此五类声发射信号进行识别，获得了满意的效果。
The property and applicable range of each model is analyzed, and the Pattern classifier is also designed with respect to each model.
分析了每种模型的性质和适用范围，设计了针对不同模型的模式分类器。
This paper presents the application of a recently-developed pattern classifier called support vector machine(SVM) in expressway incident detection.
文章采用一种新的模式识别技术——支持向量机（SVM），来进行高速公路的事件检测。
An improved design method on pattern classifier based on multi-layer perceptrons (MLP) by means of minimum classification error (MCE) training was proposed.
提出了一种基于最小分类错误(MCE)训练的采用多层感知器(MLP)结构的模式分类器设计方法。
The intelligent pattern classifier and its realization techniques are discussed according to the classing process in a computer control combined tea-stalk reject system.
结合组合式电脑茶叶拣梗机的模式分类问题，讨论了模式分类器智能化及实现策略。
A new ECG pattern classifier with Variable Area Template is applied to improve the quantity of ECG analysis results, while the optimized software design ensures the other performances.
系统采用了一种新型的带有可变区域模板的ECG拍分类器用于提高ECG分析结果的质量；并且通过优化软件设计提高了其他方面的性能。
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.
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。
In practice applications, generic near neighbor classifier was limited for the amount of pattern processing was very large and was difficult to get the best data quickly on line.
在实际应用中，一般的近邻分类器由于模式处理量过大，且难以在线和快速获得最佳近邻数等原因，而受到了限制。
The classifier design is a key step for pattern recognition systems.
分类器设计是模式识别系统中的关键步骤之一。
Since multiple classifier systems can to some extent improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器系统能够在一定程度上弥补单个分类器的缺陷，因此它在模式识别中得到了广泛的应用。
Since multiple classifier systems(MCS) can improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
多分类器组合方法可以在一定程度上弥补单个分类器的不足，提高分类性能，因此，它在模式识别领域得到广泛的应用。
At last it introduces common classifier in pattern recognition, which includes Back-Propagation Network.
最后对模式识别中常见的分类方法做了的介绍。
In this paper a model of discrete fuzzy membership function based on statistical distribution of features of pattern is presented. It is used for the fuzziness of input features of classifier.
本文提出了一种基于模式类特征空间统计分布的模糊隶属度函数模型，可有效地反映模式在特征空间中的真实分布，用于模式分类器输入特征的模糊化可获取更好的识别性能。
Feature selection is an important issue in the fields of machine learning and pattern recognition. The effectiveness of feature directly affects the design and performance of the classifier.
特征选择问题是机器学习和模式识别中的一个重要问题，特征的优劣直接影响分类器的设计和性能。
A combined classifier is designed. There are two recognition ways used in the classifier. They are the least distance pattern recognition method and the BP neural network pattern recognition method.
设计了一个二级组合分类器，该分类器综合使用了最小距离和BP神经网络两种模式识别方法。
Measure some feature of one image and take it to classifier, this is an important step of pattern recognition.
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。
The classifier design is a key step for pattern recognition systems, which can effect performance of system.
分类器设计是模式识别系统中的关键步骤之一，它直接影响到系统的分类能力。
In chapter 3, the method of multi classifier combination based on different pattern features is studied.
第三章，研究了基于不同模式特征的多分类器联合方法问题。
Support vector machine classifier overcome the shortcoming of the present and commonly used pattern-recognition methods, and has improved the recognition rate effectively.
支持向量机分类器克服了当前常用的模式识别方法的缺点，有效提高了识别率。
As a nonlinear method, the fuzzy rule-based pattern recognition has good comprehensibility, but has not been applied to the multiple classifier fusion.
而基于模糊规则的模式识别方法是一类可理解性好的非线性方法，但迄今为止还没有被应用于多分类器融合问题中。
Similarly, based on rough set theory to feature-set reduction, in the optimal decision based on the use of the property least squares support vector machine classifier to identify the flow pattern.
同样，基于粗糙集理论对特征集进行约简，在最优决策属性的基础上使用最小二乘支持向量机分类器对流型进行识别。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
Because neural networks have a very strong ability in pattern recognition, an NN classifier is used in the multi-parameter recognition of fault signals.
充分利用了神经网络极强的模式分类能力，用神经网分类器对故障信号进行多参量识别。
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