NIEM模型使用泛型，在适当的时候，您应该在您的模型中使用它们。
The NIEM model USES generalizations, and when appropriate, you should use them in your model, too.
新的类型特性，例如泛型，增强了类型模型，并为编译器提供更多的信息。
New language features such as generics strengthen the typing model and provide still more information to the compiler.
不是泛型引用的字段都在泛型模型定义的时候完全定义；是泛型引用的字段则保留作为签名，留在以后进行填充。
Fields that aren't generic references are fully defined at the time the generic template is defined; fields that are generic references are just kept as signatures to be filled in later.
图2展示了添加了泛型和角色的模型。
Figure 2 shows the model after I have added my generalizations and roles.
概念数据模型定义主要的业务实体、这些实体的泛化（generalization）以及实体之间的关系。
The conceptual data model defines the major business entities, generalizations of those entities, and relationships between the entities.
本系列的第2部分进一步讨论构造数据模型方面的最佳实践，包括利用Hibernate的多态性、泛型DAO的其他有用特性以及数据模型的性能调优。
Part 2 of this series covers more best practices in constructing a data model by leveraging polymorphism with Hibernate, other useful features of a generic DAO, and performance tuning the data model.
该系统具有很好的灵活性和可调性，实验表明该模型的应用提高了系统的分类精度，增强了系统的泛化能力。
The new system is flexible and adjustable. The experimental results show that the application of this model improves the classification accuracy and generalization capability of the system.
泛函网络是类似于人工神经网络的新型网络模型，是泛函方程的网络表达形式。
Functional network is new network model. It is similar to artificial neural network and is network expression of functional equation.
对于医学工作者而言，如何构建神经网络模型使其具有较好的泛化能力，并解决实际问题是他们关注的。
For medical researchers, particularly attention had been given to how to build a suitable ANN model to resolve the actual problems and model have excellent generalization capabilities.
本文介绍了泛布尔代数的数学模型、公理体系和化简方法；
This paper introduces the mathematics model, axiom system and simplified method of the Panboolean alegara.
这种泛网建模的方法适应性强、简洁，列写模型的参数矩阵快速、准确、直观。
The method is applicable and brief, it is fast, accurate and audio-visual to write the parameter matrices of the 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.
并且讨论了泛播的基本概念，网络模型和服务选择标准，对移动自组网络中的泛播研究现状进行了回顾和分析。
Researches on ANYCAST in Mobile Ad hoc network are analyzed with the discussion of conception, networking model, and the service choosing measures of ANCAST.
算例中利用实测数据进行负荷动态建模，结果表明可得到精度和泛化能力都较高的负荷模型，在电力负荷建模方面具有广泛的应用价值。
In the calculation example, the real data were used for the dynamic modeling of the load, and the results show that the load model is accurate and has high generalization ability.
实验结果表明，神经网络预测模型具有较佳的学习能力和泛化能力。
Experiment result shows that ANN prediction model is characterized by better learning capacity and generalization capacity.
结果表明，该模型有较高的稳态精度，而且具有较好的泛化能力。
The results show that the model has the high steady-state precision and generalization performance.
而PAC学习模型是计算学习理论的基础，它为研究学习及泛化问题提供了一种基本的概率框架。
PAC learning model is the fundamental of computational learning theory, it provides a probabilistic framework for the study of learning and generalization.
几个典型实验的结果表明，与传统BP网络模型相比，新网络模型在学习能力和泛化推广能力方面都有明显提高。
The simulation results show that the learning and generalization capability of the new models are much better than the conventional BP networks.
实验结果表明，该方法可有效提高统计模型的泛化能力，并实现对心室结构的分割和运动跟踪。
The experimental results show that this method leads to statistical models with better generalization ability, which is useful for cardiac image segmentation and motion analysis.
经训练的评价模型应用于实例的评价结果表明，该模型设计合理、泛化能力强，对海水水质评价具有较好的客观性、通用性和实用性。
The assessment results show that the model is reasonable in design and higher in generalization, meanwhile, is common, objective and practical to sea water quality assessment.
尤其是改进的神经网络分段预测模型具有网络结构简化、收敛速度快，泛化能力强的特点，取得很好的拟合精度和预测效果。
The improving neural network subsection prediction model can take advantage of simple network structure, fast convergence rate and strong generalization capability, and get a good modeling effect.
一系列的实验，特别是双螺旋线实验表明，该网络模型不仅具有很快的收敛速度，而且具有很好的泛化能力。
A series of experiments, especially the two spiral problem indicate that our new model converges very fast, and has good generalization.
现有的地面太阳逐时总辐射预测模型的预测精度及泛化能力尚不能令人满意。
The existing models for forecasting hourly total solar irradiance are unsatisfactory in forecast errors and the generalization capability.
基于相空间重构的非线性预报思想，建立一个时滞的BP神经网络模型，采用贝叶斯正则化方法提高BP网络的泛化能力。
Based on nonlinear prediction ideas of reconstructing phase space, this paper presents a time delay BP neural network model, whose generalization is improved utilizing Bayes' regularization.
本文给出最优价格模型并介绍了利用泛函极值确定产品的最优价格的方法，最后列举几个实例。
In this article, the optimal price model is built and solved by virtue of optimization in functional analysis. Several examples are given to elaborate our approach.
大量研究表明，ANN模型泛化能力的改善与很多因素相关联，其中恰当的性能指标函数设计是一个重要影响因素。
Generalization ability of ANN's identification model concerns with many factors, and appropriate designed performance index function is an important influence factor.
提出了一种多项式泛函网络运算新模型，来求解任意数域或环上多项式运算问题。
The new computing model of polynomial functional network is firstly proposed and the solving polynomials computing problem in arbitrary coefficients fields or ring is discussed.
在样本数据范围内，当模型的收敛精度为0.1%时，识别和预测的泛化精度均在5%以内。
Within the sample database range, generalization precisions of identification and prediction are within 5% when convergence precision is within 0.1%.
路径规划可以描述为泛函极值模型。
A functional minimization model can be derived from a path planning.
路径规划可以描述为泛函极值模型。
A functional minimization model can be derived from a path planning.
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