- 更多网络例句与可构成映射相关的网络例句 [注：此内容来源于网络，仅供参考]
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The paper focuses on the technique of machinable features recognition of sheet metal parts in CNC bending process.
可将三维CAD模型映射表示为由特征节点构成的网络图，这一方法可以对钣金零件的折弯加工工序模拟、折弯模具以及折弯夹具进行有效分析
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The essential problem of KBOOA are acquirement and organization of knowledge about the application domain. First of all, we recognize objects according to their outside characteristics and build stable concepts structures. In this way, the attributes and behaviors of any objects are treated as objects as well. The concepts are organized in hierarchies, the concepts' semantics are demostrated in the form of conceptual graphs. As hierarchy structure has inheritance, the system has ability to recognize and reuse concepts, analyze and reason the acquired information according to the existing knowledge, understand the problem space and present the system's functions and characteristics to the analysts and users in the form of scenarios. The main means of transforming informal requirements to formal ones is to recognize objects according to their outside characteristics, recognize attributes according to their functional dependence and describe the semantics of objects, behavior and attribute's relationship's because there is a automatic map from the descriptions of attributes and behaviors to class structures. It is difficult to transfer from OOA to OOD, We disscussed the modularity of Object-Oriented programs according to the principles of software engineering and presented the methods to decrease couplings and increase cohesions, i.
KBOOA以知识的获取、组织为中心问题，首先依据对象的外特性识别对象，并将属性和行为也作为对象处理，从而建立起较稳定的概念结构；KBOOA以层次的方法组织概念，以概念图的形式描述概念的语义，利用层次结构的继承特性，使系统具有识别、重用概念的能力，根据已有知识对系统所获信息进行分析、推理，产生对问题空间的理解，并以想定的形式向分析师、用户展示系统功能、性能，从而构成了一个交互式的，具有一定智能的需求分析环境；依据外特性识别对象，依据函数依赖关系识别属性，用概念图描述对象、行为及属性关联，是将需求由非形式化形式向形式化形式转换的主要手段，使属性及行为描述可向类型结构自动映射，为提高需求分析的自动化程度提供了依据。
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The time-history velocity response signal of pile can be decomposed by Sym wavelet. The power spectrum value can be extracted from some specified spectrum range. These values from one signal makes up the characteristic vector representing this signal. The relationship between characteristic vector of pile and pile defect type can he established by using BP artificial neural network. Abundant time-history velocity response signals of pile can be acquired by numerical simulation method.
利用Sym小波对基桩速度响应时程曲线进行小波分解，对指定频带上的信号分量进行特征值提取，提取的特征值为反映各频带范围内体现能量分布的功率谱均值，提取的特征值可构成反映信号特征的特征向量，同时利用BP人工神经网络的非线性映射特性建立特征向量和基桩缺陷类别之间的一种对应关系。
- 更多网络解释与可构成映射相关的网络解释 [注：此内容来源于网络，仅供参考]
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constructible map：可构成映射
constructible 可构成的 | constructible map 可构成映射 | constructible set 可构成集
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constructible set：可构成集
constructible map 可构成映射 | constructible set 可构成集 | construction 构成
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constructible：可构成的
constructibility 可构成性 | constructible 可构成的 | constructible map 可构成映射