• Click OK to save the updated mapping model.

    点击OK以保存更新后的映射模型。

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  • To do this, create a mapping model as follows.

    为了完成本项,建立以下映射模型。

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  • Run the UML-to-C + + transformation with this mapping model.

    运行含有该映射模型的从uml到c++的转换。

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  • The name of the class itself is not affected by the mapping model.

    类的名称并不受映射模型的影响。

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  • Create a new mapping model between each pair of data source models.

    在每一对数据源模型之间建立一个新的映射模型。

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  • This means it is failing to find the mapping model.

    这意味着无法找到映射模型。

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  • Using a mapping model, you can rename modeled elements in the generated code.

    使用映射模型,您能够在生成的代码中重命名模型的元素。

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  • Create a new mapping model between each data source model and the federated model.

    在每一个数据源模型和联邦模型之间建立映射模型。

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  • A mapping source that USES attributes on the context to create the mapping model.

    使用上下文中的特性创建映射模型的映射源。

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  • JAX-RPC has its own data mapping model, which covers about 90 percent of all schema types.

    JAX - RPC具有自己的映射模型,此模型大约涵盖了所有模式类型中的90%。

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  • Notice that specifying alternate names in a mapping model does not modify the source model.

    注意在映射模型中指定一个名字,并不会改变源模型。

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  • You can easily do this by selecting the mapping group details view in the resulting mapping model.

    你可以通过选择结果映射模型中的映射组细节来轻松的完成这些工作。

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  • Segmented bit vector coding schemes are advanced to obtain a mapping model with high efficiency.

    文中提出了分段位向量编码的方案,得到了效率更高的映射模型。

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  • If, however, you want the Package1 to be generated as Folder1, then you need to use the mapping model.

    然而,如果您想要将Package1生成为Folder1,那么需要使用映射模型。

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  • It turned out that dimension error calculated by grid mapping model is smaller than required precision.

    结果表明,模型计算得到的尺寸误差较小,能够满足尺寸精度的要求。

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  • Data mapping model: JAX-RPC has its own data mapping model, which covers about 90 percent of all schema types.

    数据映射模型:JAX - RPC具有自己的映射模型,此模型大约涵盖了所有模式类型中的90%。

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  • This article will discuss the usage of a mapping model to direct code generation into files other than default ones.

    本篇文章将讨论映射模型的使用方法,控制代码自动产生到除默认文件之外的其它文件。

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  • This paper is to establish a mathematical mapping model of different medical images for the same human tissue or organ.

    目的:建立人体同一组织在不同医学影像上的灰度映射数学模型。

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  • And then later you can optionally update your data mapping model to use SPROCs - or not if you decide you don't want to.

    接着,你可以选择用存储过程来更新你的数据映射模型——或者不使用也可以。

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  • To do so, browse the mapping model to reach Package1, and then in the Mapped Name edit box at the bottom of the wizard type Folder1.

    浏览映射模型,找到 Package1,然后在向导底端的MappedName编辑框输入Folder1。

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  • In a mapping model, you can specify exactly where a UML element should be mapped to in the target project and what should be its name.

    在一个映射模型中,您可以具体地指定一个UML元素应该映射到目标项目中的什么地方,以及它的名字。

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  • To generate multiple classes in the same file, therefore, all you need to do is to give the same target name for them in the mapping model.

    因此,要想在一个文件中生成多个类,您所需要做的仅仅是在映射模型中为它们指定相同的目标名称。

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  • The convergence speed of region mapping model is faster than that of BP neural network, and the model has a good identification ratio.

    模型从根本上保证了分类准则与训练准则的一致性,具有比BP网络更快的训练速度和更高的识别率。

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  • For mapping direction, the weighted formula of visual color difference is proposed and the three-dimensional mapping model is designed.

    匹配方向方面,提出了加权视觉色差公式,并设计了实用的三维搜索匹配模型。

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  • Mappings identified by RDA can be accepted or rejected into the mapping model, allowing the modeler to retain control over the mapping exercise.

    RDA所识别的映射可以接受到映射模型中,也可以拒绝,这使得建模者可以保持对映射的控制。

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  • So either it cannot match up the source model or cannot match up the destination model or your mapping model is not included in the bundle.

    因此,它无法匹配源模型或无法匹配目标模型,或者您的映射模型未包含在捆绑包中。

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  • The mapping model of film thickness of micro-arc oxidation(MAO) on magnesium alloys is built on BP neural network with three layer structure.

    选择三层结构的BP神经网络,建立镁合金微弧氧化膜厚的映射模型。

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  • A multi - views mapping model based on single - layer BOM is proposed. The multi - views model's mapping processes are analyzed and implemented.

    提出一种基于单层bom数据源的多视图映射模型,并分析了多视图映射的实现过程。

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  • This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.

    利用HMM的统计特性,对HMM模型结构进行改动,使其成为人脸语音动画合成中语音特征到图像特征的映射模型。

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  • This paper takes advantage of HMM's statistic characters. With a little modification on HMM structure, it gets a mapping model from speech to image.

    利用HMM的统计特性,对HMM模型结构进行改动,使其成为人脸语音动画合成中语音特征到图像特征的映射模型。

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