Learning-based BBA Modeling Method with Attribute Interval Number

2021 ◽  
Author(s):  
Ke He ◽  
Deqiang Han ◽  
Xiaojing Fan ◽  
Yi Yang ◽  
Bo Dong
Keyword(s):  
Interval Number ◽  
Modeling Method

Human Behavior Modeling Method Based on the Causality Between the Situation and the Behavior

2011 ◽  
Vol 131 (3) ◽  
pp. 635-643 ◽  
Author(s):  
Kohjiro Hashimoto ◽  
Kae Doki ◽  
Shinji Doki ◽  
Shigeru Okuma ◽  
Akihiro Torii
Keyword(s):  
Human Behavior ◽  
Modeling Method ◽  
Behavior Modeling ◽  
Human Behavior Modeling

A Modeling Method of Moving Target’s Radar Cross Section

2018 ◽  
Author(s):  
Qi Yutao ◽  
Zhang Xinyuan ◽  
Li Jianzhou ◽  
Lin Gang
Keyword(s):  
Cross Section ◽  
Radar Cross Section ◽  
Modeling Method

The enhancement of a block-oriented modeling method to improve inference and prediction

2006 ◽  
Author(s):  
Gabrielle Lynn Larson
Keyword(s):  
Modeling Method

EVALUATION OF THE RELIABILITY OF COMPLEX TECHNICAL RECONFIGURATION SYSTEMS BY STATISTICAL MODELING METHOD

2019 ◽  
pp. 84-88
Author(s):  
A.Yu. Kulakov
Keyword(s):  
Normal Distribution ◽  
Statistical Modeling ◽  
Quantitative Estimate ◽  
Failure Time ◽  
Modeling Method ◽  
System Failure ◽  
Similar System ◽  
Orbit Control ◽  
Reliability Characteristics ◽  
Complex Technical System

Goal. Assess the reliability of a complex technical system with periodic reconfiguration and compare the results obtained a similar system, but without reconfiguration. Materials and methods. In this article uses the method of statistical modeling (Monte Carlo) to assess the reliability of complex system. We using the normal and exponential distribution of failure time for modeling failures of system elements. Reconfiguration algorithm is the algorithm proposed for the attitude and orbit control system of spacecraft. Results. A computer program has been developed for assessing reliability on the basis of a statistical modeling method, which makes it possible to evaluate systems of varying complexity with exponential and normal distribution, as well as with and without periodic reconfiguration. A quantitative estimate of the reliability as a function of the probability of system failure is obtained. Conclusion. It has been demonstrated that a system with reconfiguration has the best reliability characteristics, both in the case of exponential and normal distribution of failures.

Application of reverse engineering modeling method in finite element analysis of implant restoration

2010 ◽  
Vol 30 (3) ◽  
pp. 335-337
Author(s):  
Qiang ZHU ◽  
Da-lin WANG ◽  
Yi ZHOU ◽  
Xiao-qian QIU ◽  
Shao-hai WANG
Keyword(s):  
Finite Element Analysis ◽  
Finite Element ◽  
Reverse Engineering ◽  
Modeling Method ◽  
Element Analysis ◽  
Implant Restoration ◽  
Engineering Modeling
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