| 仿真模型验证方法与程序设计 |
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| 引用本文： | 陈利,张庆明,王晓英,汪于力. 仿真模型验证方法与程序设计[J]. 北京理工大学学报(英文版), 2002, 11(2): 125-128. DOI: 10.3969/j.issn.1004-0579.2002.02.004 |
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| 作者姓名： | 陈利 张庆明 王晓英 汪于力 |
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| 作者单位： | 北京理工大学,爆炸灾害预防与控制国家重点实验室,北京,100081;北京理工大学,爆炸灾害预防与控制国家重点实验室,北京,100081;北京理工大学,爆炸灾害预防与控制国家重点实验室,北京,100081;北京理工大学,爆炸灾害预防与控制国家重点实验室,北京,100081 |
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| 摘 要： | 仿真模型验证是建模和仿真的一个重要方面.对现有的模型验证方法进行了分析比较,并选择其中的性能指标关联分析和频谱估计方法,包括TIC不等式系数法、灰色关联分析法、直接频谱法、基于Burg算法的最大熵谱估计法和基于Marple算法的最大熵谱估计法这几种典型的模型验证方法,用C语言进行编程和设计.并通过实例说明了各种不同模型验证方法的验模过程.结果证明了程序的可行性,同时也表明了验证模型时最好综合采用多种方法.
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| 关 键 词： | 验证 仿真模型 性能指标关联分析 频谱估计 |
| 收稿时间： | 2001-11-24 |
Methods of Validating Simulation Model and Program Design |
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| CHEN Li,ZHANG Qing ming,WANG Xiao ying and WANG Yu li. Methods of Validating Simulation Model and Program Design[J]. Journal of Beijing Institute of Technology, 2002, 11(2): 125-128. DOI: 10.3969/j.issn.1004-0579.2002.02.004 |
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| Authors: | CHEN Li ZHANG Qing ming WANG Xiao ying WANG Yu li |
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| Affiliation: | National Key Laboratory of Prevention and Control of Explosion Disasters, Beijing Institute of Technology, Beijing100081, China;National Key Laboratory of Prevention and Control of Explosion Disasters, Beijing Institute of Technology, Beijing100081, China;National Key Laboratory of Prevention and Control of Explosion Disasters, Beijing Institute of Technology, Beijing100081, China;National Key Laboratory of Prevention and Control of Explosion Disasters, Beijing Institute of Technology, Beijing100081, China |
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| Abstract: | Validating simulation model is one of the important aspects for modeling and simulation. Some methods of validating model are compared and analyzed. Several typical methods, such as TIC's inequality coefficient, gray interconnected analysis, direct spectrum estimation, maximum entropy spectral estimation based on Burg or Marple, are chosen and programmed in C language. Some examples by using the program are given. The results show that the program is available and it is best to adopt multi methods for validating models. |
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| Keywords: | validation simulation model interconnected analysis frequency spectrum estimation |
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