经济主体应用分类器系统来选择正确的行为规则。
The agents use classifier systems to choose appropriate rules.
第三，研究了学习分类器系统在多机器人学习中的应用。
Thirdly, Learning Classifier system is applied to multi-robot system.
为改善多分类器系统的分类性能，提出了基于广义粗集的集成特征选择方法。
For improving the performance of multiple classifier system, a novel method of ensemble feature selection is proposed based on generalized rough set.
消费品企业通过调整劳动力数目和资本数目控制生产规模，并应用分类器系统完善定价策略。
The firms of the consumer goods controls the production scale through adjusting the figure of workforces and the figure of capital, and uses the classifier system to perfect the pricing strategies.
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 can to some extent improve the performance of classification, the technique has been widely used in various fields of pattern recognition.
针对标准数据集在评估多分类器系统的组合方法时存在的不足，设计了一种新的分类器模拟算法。
Aiming at the deficiency of evaluating classifier combination methods with standard data sets, a new classifier simulation algorithm was proposed.
文中使用小波变换来对人脸的高维图像矢量进行压缩，并设计了一个支持向量机分类器系统来识别人脸。
This article utilizes the wavelet transform to compress the high dimensional face image vectors, then devises an SVM classify system to recognition the face.
对UCI机器学习数据库的实验证明，相对于其它方法，EPD方法对多分类器系统性能的预测能力更强。
The experiments on UCI Machine Learning Repository prove that, compared to existing measures, EPD shows stronger ability in predicting the performance of multiple classifier systems.
为改进多分类器系统的性能，提出一个多分类器融合模型，该模型将和规则与多数投票作为特例纳入其体系中。
Aiming at improving the classification performance, a combination model of multiple classifier systems is presented, which takes the Sum rule and majority voting as its special cases.
分类器选择是一种设计多分类器系统的有效方法，从给定候选分类器集中挑选出一个子集，使得该子集集成性能最佳。
The goal of classifier selection is to select a subset of classifiers from a given set of candidate classifiers, to achieve the best combination performance.
软件包使建模者能够组织模型分类器到名字空间中，这有些象文件系统中的文件夹。
Packages enable modelers to organize the model's classifiers into namespaces, which is sort of like folders in a filing system.
不正确地绘制这些分类器，很有可能将使你的结构图读者感到混乱，以后的系统将不能适应需求。
Drawing these classifiers incorrectly will likely confuse readers of your structure diagram, and the ensuing system will probably not meet requirements.
第一个是它显示系统分类器的静态结构；第二个理由是图为U ML描述的其他结构图提供了基本记号。
The first is that it shows the static structure of classifiers in a system; the second reason is that the diagram provides the basic notation for other structure diagrams prescribed by UML.
例如，某些基本的神经网络，它们的感知器只倾向于学习线形函数(通过划一条线可以把函数输入解析到分类系统中)。
For instance, a certain kind of basic neural network, the perceptron, is biased to learning only linear functions (functions with inputs that can be separated into classifications by drawing a line).
文件和文件系统属性分类是对NFS的另一个补充，使服务器实现更方便。
File and file system attribute classification is another addition to NFS that allows for easier server implementations.
我们还创建了一个分类系统，最终将这个WSRR配置概要文件直接导出到 WSRR服务器并激活它。
You also created a classification system and finally exported the WSRR configuration profile directly into a WSRR server and activated it.
分析人员可以使用资产管理器来定义和应用用于描述服务的业务语义的分类系统。
Analysts may work with the asset manager to define and apply classification systems used to describe business semantics of services.
分类器网络正成为机器视觉系统的基础。
Classifier networks are becoming the basis of machine vision systems.
实验结果证明阶层式警报分类器的确能改善原本的入侵侦测系统。
The experimental results demonstrate that the hierarchical alert classifier will improve the original IDS.
目标噪声特征提取和目标分类器设计是被动声呐目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key technique of passive sonar target recognition system.
针对当前辐射源识别系统中存在的问题，提出了一种结合组合分类器技术的辐射源识别新方法。
Aiming at the problem of radar radiating source recognition system, we put forward a scheme applying combining classifier to radiating source recognition.
目标噪声特征提取和目标分类器设计是被动声纳目标识别系统的关键技术。
Feature extraction of targets radiated noise and design of targets classifier are key issues of passive sonar target recognition system.
提出了一种在线进行调制识别的系统模型，并给出一种基于神经网络的快速收敛分类器算法。
This paper mainly proposes an algorithm that the speedy constringency classifier of neural networks and proposes a system model of online modulation recognition.
分类器设计是模式识别系统中的关键步骤之一。
The classifier design is a key step for pattern recognition systems.
利用这些在任何语言的文本上都极易获得的特征，我们采用最大熵分类器构建了一个基准系统。
They are easily obtainable for almost any language. We build a baseline ne recognizer based on these features.
本文提出了一种基于贝叶斯方法的电子邮件分类器，讨论了其基本思想，给出了实现的系统结构。
This paper proposes a Bayesian method based E-mail classifier, discusses the idea and gives the system structure.
人工神经网络与气体传感器相结合，用于识别、分类、诊断和预测，将进一步提高气体检测系统的智能水平。
Artificial neural network together with gas sensors, which is applied to identification, classification, diagnosis and prediction, will further improve the intelligence of gas detection system.
基于竞争学习算法的模糊分类器确定系统的模糊空间和模糊规则数，并得出每个样本对每条规则的适用程度。
The fuzzy space structure of system and the number of fuzzy rules based on fuzzy competitive learning algorithm are determined and the fitness degree of each rule contrast to each sample is obtained.
由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。
Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.
由确定性退火技术构造学习规则用于优化分类器参数，目的是减少分类误差以及待识别空间的系统熵。
Learning rules are constructed according to deterministic annealing to optimize classifier parameters, on purpose to reduce classification error and system entropy of the space to be identified.
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