本文综述了近年来BCSR模型的分类、数学描述和应用。
The classification, mathematical description and the application of BCSR models are comprehensively reviewed.
提出了过程信息基因模型的分类、编码和建模的一般方法。
The general method for process coding, classification and modelling is put forward.
对文档模型的分类，采用了贝叶斯分类器，并动态调整反馈器的参数。
The classification of the document model, using Bayesian classifier, can dynamically adjust the parameters of feedback devices.
我自己的基于三元模型的分类工具仍处于早期alpha测试或原型级别。
My own trigram-based categorization tools are still at an early alpha or prototype level.
介绍了地下水及溶质运移数值模拟的研究进展、数值模型的分类和数值模拟的步骤。
This paper briefly discusses the development of groundwater and solute migration numerical simulation, the classification of numerical models and the main steps of numerical simulation.
针对动态信号模式分类问题，提出了一种反馈过程神经元网络模型和基于该模型的分类方法。
To solve the classification of dynamic signal, this paper proposed a feedback process neural networks model and classification methods based on this model.
基于云模型的分类算法多采用云变换和泛概念树方法，存在分类结果与先验知识不一致的问题。
The classification based on cloud model always USES cloud transform and Pan-Concept-Tree, it brings on inconsistency between the result and prior knowledge.
首先研究了基于神经网络的故障诊断模型的分类和设计步骤，并将诊断模型大体分为6类和5个设计步骤；
First, it researches the category and design process of the fault diagnosis model based on neural network. The model includes 6 categories and 5 design processes.
从工程模型的一般概念入手，以系统优化设计为目标，重点讨论了模型的分类、建模方法和系统的设计过程。
With the aim of optimal system design, the article discusses the model classification, the modeling method and the system design process on the basis of general conception of engineering model.
本文通过认真分析，认为在基于向量空间模型的分类方法中可以适当地借鉴基于语义的分类方法中的权重设置方法。
Therefore, by some analysis, the combination of classification based on vector space model and which based on semantic is one of the best solutions to this problem.
文章在对交叉覆盖算法分析的基础上，提出了几种球形领域和特征函数的构造方法，并通过实例对各种模型的分类能力进行比较。
This paper gives some methods of constructing sphere domains and activating functions based on the analysis of covering algorithm. Some instances show the ability of the covering models.
验证和分析了LSC模型的英文文本和中文文本的分类性能，研究了LSC模型的分类稳定性以及与其它多种分类模型的性能比较问题。
We study the performance of LSC model on English and Chinese corpus respectively, analyze the LSC model's stability, and compare LSC model with some common classification models.
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.
可能使用划分来为组织相同模型的元素证明其他的分类。
Partitions may be used to document other classifications for organizing the same model elements.
虽然可能会出现不正确的分类，但可接受的错误百分比由模型创建者决定。
While some incorrect classifications can be expected, it's up to the model creator to determine what is an acceptable percentage of errors.
派生的uml模型也保留术语表分类。
一个从需求开始的典型模型可能还会包括结构化的表达交流的分类模型。
A typical model that started as just requirements may also include structural classifier models that express interactions.
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.
生成的逻辑数据模型保留术语表分类。
Resulting logical data model retains glossary classifications.
已转换的uml模型保留术语表分类。
如果构建过程会生成模型的所有分类，那么通常不需要刷新标签等内容。
If part of the build process is to generate all categories within the model then there is usually no need to refresh labels etc.
完成后，anttest将尝试使用在训练时建立的模型对示例测试文档进行分类。
Once completed, ant test takes the sample test documents and tries to classify them using the model that was built during training.
这些错误表明在我们的模型中出了问题，我们的模型正在错误地分类某些数据。
These errors indicate we have problems in our model, as the model is incorrectly classifying some of the data.
然后您可以使用这些分类在调用点限定业务模型中的服务。
You can then use these classifications to qualify services in the business model at points of invocation.
我们了解了为了创建一个好的分类树模型，我们必须要有一个输出已知的现有数据集，从这个数据集才能构建我们的模型。
We learned that in order to create a good classification tree model, we need to have an existing data set with known output from which we can build our model.
这个套件能够管理语义性（包括分类法）和结构性的模型。
The Suite is capable of managing both semantic, including taxonomic, and structural models.
该模型包括USBD的分类法和存在论。
此数据仅能在业务上下文中进行分类，而不能使用简单的层次结构模型（如第 3步中的模型）进行分类。
This data can only be classified within a business context and can't be classified using a simple hierarchical model, as shown in step 3.
你总应该有一个根据分类法划分服务的服务模型。
You should always have a service model that classifies services according to taxonomy.
这是因为分类模型得到的结果，只有59 %的准确率，而这完全不能接受(比猜想好不到哪去)。
Because, if you remember the results of that model, it was only 59-percent accurate, which wasn't acceptable at all (barely better than guessing).
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