Earticle

초록

영어

Aimed at improving the efficiency of the development of complex simulation system and the problem of lower development costs, a validation development framework is proposed based on combination model. The system development process can be broken in the discovery of decomposition for the model, combination and combination of validation phase. This thesis gives the validation method based on model of tag transfer system behavior, judging by strong simulation and semantic similarity relations after the combination model of dynamic behavior and request model conforms to the degree. Simulation model combined the experimental results show that the method can automatically finish the combination of the simulation model validation, the validity of the model validation can meet the requirements of practical application.

목차

Abstract
 1. Introduction
 2. Model Development Framework
  2.1. The Key Variables and Indicators of Statistical Analysis Methods
  2.2. The Analysis of Continuous Dynamic Process Consistency
  2.3. Discrete Event Validation
  2.4. Mixed Behavior
 3. Dynamic Behavior Model Validation
  3.1. Simulation Model Matching
  3.2. Method Validation Process
 4. The Simulation Model Representation
  4.1. Static Data Characteristic Difference Model
  4.2. Graded Data Characteristic Difference Measurement Model
 5. Combination Model’s Inspection
  5.1. Improvement of Periodogram Estimation
  5.2. The Test Method of Wavelet
 6. Validation Method Instance
 7. Conclusion
 References

키워드

저자

• Zheng Kun [ School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang City, China ]
• Zhang Jianyan [ School of Information Science and Engineering, Hebei University of Science and Technology, Shijiazhuang City, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605