Which engineering viewpoints must be addressed in system modeling and development?
哪个工程视点必须在系统建模和开发中被处理？
And while logical decomposition is often essential, it is not sufficient for system modeling.
虽然逻辑分解常常是必要的，但是对系统建模来说是不够的。
This step creates the traces between the business modeling and the system modeling artifacts.
此步骤创建业务建模及系统建模工件之间的追溯。
Table 1 shows RUP-SE's typical system modeling viewpoints, as well as sample development artifacts produced for specific model levels.
表1显示了RUP - SE的典型系统建模视点，还有特定模型级别所产生的开发工件范例。
Therefore, research on the method of system modeling and controller parameters tuning is very important.
因此，研究基于现代优化技术的系统建模方法和控制器参数整定技术具有重要的意义。
Also, the key part of the system modeling is presented.
对系统建模的关键部分进行了描述。
Neural Networks is an important method in nonlinear system modeling.
神经网络是非线性系统建模的重要方法。
Nonlinear system modeling using fuzzy method is discussed in this paper.
讨论了利用模糊方法实现非线性系统的建模方法。
The applicability and feasibility of the system modeling is validated through practice.
项目的实际运行验证了该模型的适用性、可行性。
Dynamical system modeling is the most important research in current process system engineering.
动态系统建模是目前过程系统工程中最重要的研究课题之一。
Project risk management is studied with the establishment of system modeling of risk management.
以项目风险管理为研究对象，建立了项目风险管理系统模型。
For the model system, economic conditions, population, and water quality were predicted with grey system modeling.
在模型库中利用灰色预测模型可对社会经济、人口，水质等进行预测。
The algorithm is applied to oil field system modeling, which proves that the proposed scheme is useful and effective.
该算法在油田系统建模问题中的成功应用也表明了该方案的有效性。
The chaotic BP algorithm is applied to nonlinear system modeling to obtain the optimal approximation in the global sense.
将混沌BP算法应用于非线性系统建模，以求获得全局意义下的最优逼近。
CDFG (control data flow graph) can be used in system modeling, software and hardware partition, synthesis and verification.
控制数据流图可用于系统建模、软硬件功能划分、系统综合与验证等多个环节。
The decomposition and synthesis technology of RM is provided with powerful reusability and is suited for complex 'system modeling.
角色模型通过分解和综合操作而具有强大的重用能力，并且适合复杂系统建模。
The study is looking forward to providing a vision of understanding and an approach of search on system modeling of Mind and Brain.
以期为人脑与心智系统探索提供一种认识视野与研究进路。
Its defect is the system modeling error or external disturbance to the results of the fault diagnosis will produce significant influence.
其缺点是系统的建模误差或外部干扰将对故障诊断的结果产生重大的影响。
Based on the binary tree structure and fuzzy logic theory, a fuzzy tree model applied to complex system modeling is proposed in this paper.
基于二叉树和模糊逻辑理论，提出了一种用于复杂系统建模的模糊树模型。
The process data used in the soft-sensing and system modeling was preprocessed by removing abnormal data and smoothing data before modeling.
采集用于软测量和系统建模的过程数据，并预处理，包括剔除异常数据、平滑数据。
Behavioral approach as an important method in the study of dynamical system has extensive applications in system modeling and control design.
行为方法是研究动态系统的一种重要手段，在处理系统建模和控制设计中都有广泛而灵活的应用。
The Support Vector Regression(SVR)is used for the time series analysis and prediction to resolve the complex nonlinear system modeling problems.
用支持向量回归（SVR）的方法分析和预测时间序列，可解决复杂非线性系统的建模问题。
Finally, validity and rationality of the system modeling and the designed controller were confirmed through performance experiments of the prototype.
通过对样机进行实际行走控制试验，验证了系统建模和控制器设计的合理性和有效性。
UML, an important tool of oo system modeling, is a general and graphic modeling language which can be used in the whole system developing life cycle.
UML是一种支持系统开发全过程的图形化建模语言，是面向对象系统建模的重要工具。
Software system modeling is another key content of this dissertation, which incarnates the explicit authorization mechanism completely and definitely.
软件系统的建模是这一部分的重点内容，它更加完整明确地体现了显式授权机制的应用。
This paper investigates the diagnosis mechanism, system modeling, advantages and disadvantages of the qualitative model-based fault diagnosis approach.
详细介绍了基于定性模型故障诊断方法的诊断机理、建模方式及优缺点。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
Fuzzy system identification is one of the main approaches of fuzzy system modeling. Optimized fuzzy system structure is the key of fuzzy system identification.
模糊系统辨识是模糊系统建模的主要手段，优化的模糊系统结构是模糊系统辨识的关键。
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