空军工程大学学报（自然科学版）2013，Vol.14Issue(2)：28-31,36,5.DOI:10.3969/j.issn.1009-3516.2013.02.007
基于复杂性测度的仿真模型验证
Validation of Simulation Models Based on Complexity Measure
摘要
Abstract
The outputs of complex simulation system are characterized by complex, nonlinearity and smoothness. Great risks come into existence when the traditional model validation method is used to solve the above problems. Complexity measure is an important parameter in describing the characteristic of nonlinear time sequence,so the theory of complexity measure is introduced into simulation model validation. Based on calculating the complexity of experiment and simulation data, the validity of model is measured by comparing the complexity measures between the simulation results and experiment data. Finally, an example is given to analyze the conclusion. The result shows that the method is simple in computation, practical and without any special requirement to the length and stationarity of time sequence.关键词
复杂性测度/模型验证/Kolmogorov复杂度/C0复杂度/近似熵Key words
complexity measure/ model validation/ Kolmogorov complexity / C0 complexity / approximate entropy分类
信息技术与安全科学引用本文复制引用
吴晓燕,吴静,陈永兴,藤江川..基于复杂性测度的仿真模型验证[J].空军工程大学学报（自然科学版）,2013,14(2):28-31,36,5.基金项目
陕西省自然科学基础研究计划资助项目(2012JM8020) （2012JM8020）
