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Titlebook: Methods and Applications for Modeling and Simulation of Complex Systems; 21st Asia Simulation Wenhui Fan,Lin Zhang,Xiao Song Conference pro

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发表于 2025-3-21 18:12:07 | 显示全部楼层 |阅读模式
书目名称Methods and Applications for Modeling and Simulation of Complex Systems
副标题21st Asia Simulation
编辑Wenhui Fan,Lin Zhang,Xiao Song
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: Methods and Applications for Modeling and Simulation of Complex Systems; 21st Asia Simulation Wenhui Fan,Lin Zhang,Xiao Song Conference pro
描述The two-volume set CCIS 1712 and 1713 constitutes the proceedings of the 21st Asian Simulation Conference, AsiaSim 2022, which took place in Changsha, China, in January 2023. Due to the Covid pandemic AsiaSim 2022 has been postponed to January 2023. .The 97 papers presented in the proceedings were carefully reviewed and selected from 218 submissions. .The contributions were organized in topical sections as follows: Modeling theory and methodology; Continuous system/discrete event system/hybrid system/intelligent system modeling and simulation; Complex systems and open, complex and giant systems modeling and simulation; Integrated natural environment and virtual reality environment modeling and simulation; Networked Modeling and Simulation; Flight simulation, simulator, simulation support environment, simulation standard and simulation system construction; High performance computing, parallel computing, pervasive computing, embeddedcomputing and simulation; CAD/CAE/CAM/CIMS/VP/VM/VR/SBA; Big data challenges and requirements for simulation and knowledge services of big data ecosystem; Artificial intelligence for simulation; Application of modeling/simulation in science/engineering/so
出版日期Conference proceedings 2022
关键词artificial intelligence; communication systems; computer hardware; computer networks; computer systems; c
版次1
doihttps://doi.org/10.1007/978-981-19-9198-1
isbn_softcover978-981-19-9197-4
isbn_ebook978-981-19-9198-1Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Singapor
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Simulation Experiment Factor Screening Method Based the simulation. Aiming at the problems of unsatisfactory accuracy and efficiency of existing experimental factor screening methods, a simulation experiment factor screening method based on combinatorial optimization (EFS-CO) was designed. EFS-CO abstracts the experimental factor screening problem in
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Development of a Generic Mesh Converter for Numerical Simulations reusing of mesh data for collaborative simulations between commonly used commercial programs and in-house codes. To break the barrier against the free exchange of mesh models, in this work a unified mesh model with full coverage of simulation-related data is deliberately designed. Based on such mes
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Design and Development of a Simulation Model Validation Toolhe corresponding real system. Model validation is also a complicated process, which requires powerful software to achieve its purpose. In this paper, we describe a simulation model validation tool (shortly SMVT) that we developed recently for the validation purpose of complex simulation models. We f
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One-Dimensional Photonic Crystal Filter with Multiple Defect Layers Based on Particle Swarm Optimizaindex and thickness of defect layer, photon period number and incident angle on defect mode were discussed. Photonic crystal structure with multiple defect layers was constructed, and multiple defect modes were obtained in the forbidden band. Based on the photonic crystal structure with two defect l
发表于 2025-3-22 20:34:11 | 显示全部楼层
Linear Constant Discrete System Based Evaluation of Equipment System-of-Systemsation method is investigated based on linear constant discrete system. Model of equipment system-of-systems is established using state space equation of linear time invariant discrete system, which describes equipment composition, connection relation, operation process and equipment performance of t
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Online Identification of Gaussian-Process State-Space Model with Missing Observationselds, the state and model need to be updated in real time, and online identification becomes very important. However, compared with offline learning, online learning of black-box model is more difficult. This paper proposes an online Bayesian inference and learning method for state-space models with
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