最后运用所设计的分类器模型解决了该票房预测问题。
Then the proposed classifier model is used to solve this problem.
M3网络是一种能够有效解决大规模复杂问题的分类器模型。
M3 network is an efficient classifier for solving large-scale complex problems.
提出了电能质量扰动的专家概率分类器模型，用于常见电能质量扰动的分类。
An expert based probability classification model is employed to investigate generic power quality disturbances.
利用人工神经网络与模糊集的理论和方法提出了诊断亚健康状态的一种分类器模型。
This paper, based on the theory and method of artificial nerve networks and fuzzy sets, puts forward a classifier model used for diagnosing the quasi-heath state.
最后，通过计算规则和模式之间的兼容性指标来构造特征向量，构建支持向量机的分类器模型。
Eventually, the compatibility between the generated rules and patterns was used to construct a set of feature vectors, which were used to generate a classifier.
构建一个分类准确而且稳定的文本分类器是文本分类的关键，很多学者提出了不同的文本分类器模型和算法。
Constructing an accurate and stable text classifier is a key to text categorization. Many researchers put forward various text classifier models and algorithms.
摘要：综合考虑神经网络分类误差率以及训练速率，文中从组合分类器结构出发，提出一种树形多层的BP—LV Q神经网络组合分类器模型。
Absrtact: By considering the error rates and the training speed of neural networks, a hierarchical classifiers which is called as BP - LVQ neural network combination model is proposed in this paper.
模型可能很简单，也可能很复杂。“分类器”(也就是判断文本是否属于某一目录的软件组件)的体系结构可能很简单，也可能很复杂。
Models may be complex or simple in the sense that the "classifiers," or the software components that determine if a text belongs to a category, can be architecturally simple or complex.
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.
Bayesian网络或神经网络等技术使用表达能力非常强的模型，力求生成无偏向的分类器来“描述”文档集。
Techniques such as Bayesian networks or neural networks use highly expressive models, which try to produce a non-biased classifier in order to "describe" a corpus of documents.
物理数据模型的生成也保留术语表分类，准备好发布到元数据服务器。
Generation to physical data model also retains glossary classifications, ready for publication to metadata server.
而且它还提供注册中心功能，通过用户定义的属性、关系和分类器来扩展已注册的服务声明和派生内容模型元素。
And it provides registry functions for decorating registered service declarations and elements of the derived content models with user-defined properties, relationships, and classifiers.
对于我的三元模型分析，我只利用了高差分三元模型作为消息分类器。
For my trigram analysis, I utilized only the most highly differentiating trigrams as message categorizers.
物理数据模型的生成也保留术语表分类，准备好发布到元数据服务器。
Generation to physical data retains glossary classifications, ready for publication to metadata server.
当一个ASPX请求到达IIS,Web服务器根据认证模型分配一个令牌，该令牌是基于匿名、Windows、基本或分类。
When an ASPX request hits IIS, the Web server assigns a token based on the authentication model of choice-anonymous, Windows, Basic, or Digest.
还利用三种飞机缩比模型的暗室测量数据，研究了时延神经网络分类器中时延单元数目对分类精度的影响以及分类器的分类性能。
The effect of time delay unit number on classification precision and the performance of TDNN classifier using three typical aircraft dark room data measured with scale model were studied.
采用基于灵敏度分析的BP神经网络模型作为基分类器，进一步剔除冗余基因。
BP neural network based on sensitivity analysis is used as base classifier to learn the subsets and redundant genes are further removed.
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.
论文研究了三种朴素贝叶斯分类器信用评估模型的精度。
This paper investigates the credit scoring accuracy of three naive Bayesian classifier models.
决策树是归纳学习和数据挖掘的重要方法，通常用来形成分类器和预测模型。
Decision tree is an important method in induction learning as well as in data mining, which can be used to form classification and predictive model.
提出了一种粗糙模糊神经网络分类器的模型。
A model of rough fuzzy neural network classifiers is proposed.
本文提出一种模糊核超球感知器（FKHP）学习方法，并介绍了一种基于FKHP这种学习方法的模糊分类模型。
This paper introduces a fuzzy classification model based on the proposed fuzzy kernel hyperball perceptron(FKHP) learning method.
在车牌字符识别中引入了误识模型和多分类器集成技术。
The techniques of mis-recognition model and multiple classifier combination are proposed and used in the system.
本文提出一种联机识别自然手写体汉字的多分类器集成模型。
In the paper, a new multiple classifiers integrated model of online recognizing natural handwritten Chinese character is presented.
感知器是一种有用的神经网络模型，可以对线性可分的模式进行正确分类。
Perceptron is a kind of useful neural network model and can classify the classification of the detachable linearity correctly.
分类是要构造一个数学模型(分类器)，该模型能把数据库的记录映射到某一个特定的类别。
Classification needs to construct a model (also called classifier) which makes a map of records in Database with a peculiar class label.
基于概率统计模型给出了一种多传感器对多目标检测与分类的优化算法。
An optimizing algorithm of detection and classification used in multisensor and multitarget is put forward based on probability statistical model.
介绍了一种基于模糊模式识别以及向量空间模型提取特征向量的中文文本分类器的设计与实现。
This paper introduces the design and implementation of the Chinese text categorizer based on the fuzzy recognition and the extraction of the characteristic vector with the vector space model.
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.
在文本分类器的设计中，用传统信息检索的空间向量模型改进了朴素贝叶斯分类器，提高了它的分类精度。
In designing web Classifier, this thesis makes use of Vector Space Model to represent the web text, which improves the performance of Bayes Classifier.
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