Mathematical Modelling Methods Based on Computer Software and Their Applications
Author: 
He SunAuthors Info & Claims
He SunAuthors Info & ClaimsPages 76 - 81
Abstract
The application of computer software technology has played a very important role in the development of the information society. With the development of computer science and network communications and other disciplines and deep into people's lives, it has become an emerging science and advanced management model of the combination of new methodologies. Mathematical modelling is the transformation of practical problems into algebraic data for analysis and processing to obtain results and to make predictions and decisions about future changes, and computer software-based agent models have a wide range of applications in the field of mathematical modelling. Therefore, the author proposes a mathematical agent model optimization design toolbox based on MALTAB user graphical interface, which covers common sampling methods, typical agent model theory and optimization algorithms, and adds some new theoretical method research results on this basis, which can well help users to solve the common engineering design mathematical modeling and its optimization problems.
References
[1]
Zhang Zhe, Ou Jinping, Li Dongsheng. Performance study and parameter optimization design of metal dampers for continuous beams based on Kriging proxy model. Journal of Computational Mechanics, 2017, 34(2): 131-136.
[2]
Han ZH. Research progress on Kriging model and agent optimization algorithm. Journal of Aeronautics, 2016, 37(11).
[3]
Gao, Yuehua. Optimization design method based on kriging agent model and its application in injection molding. Dalian University of Technology, 2019. 3
[4]
An Zhiguo. Application of Radial Basis Function Model in Multi-objective Optimal Design of Sheet Metal Forming Process. Chongqing University, 2019.11
[5]
Xiang Guoqi. Support vector regression machine agent model design optimization and application research. University of Electronic Science and Technology. 2017
[6]
Mu Xuefeng. Research and Application of Multidisciplinary Design Optimization Agent Model Technology. Nanjing University of Aeronautics and Astronautics, 2018.
[7]
Mu Xuefeng, Yao Satellite, Yu Xiongqing, Research on common agent models in multidisciplinary design optimization. Journal of Computational Mechanics, 2015, 22(5):608-612.
[8]
Liu HTA. Research and application of related problems in engineering optimization methods based on approximation models. 2016.
[9]
Cai, D.F., Shi, D.Y., Chen, J.F. Probabilistic tide calculation method based on polynomial normal transform and Latin hypercube sampling, Chinese Journal of Electrical Engineering, 2013, 33(13):92-100.
[10]
Liu, Jing-X. Research on model selection and application of support vector regression. National University of Defense Technology, 2016, 21(15).
[11]
Li Jie-Ling. Extended adaptive hybrid agent model and its application. Dalian University of Technology, 2017, 1(16).
Index Terms
- Mathematical Modelling Methods Based on Computer Software and Their Applications
Recommendations
Mathematical Modelling of Identity, Identity Management and Other Related Topics
SIN '14: Proceedings of the 7th International Conference on Security of Information and NetworksThere exist disparate sets of definitions with different semantics on different topics of Identity Management which often lead to misunderstanding. A few efforts can be found compiling several related vocabularies into a single place to build up a set ...
Modelling Rail Vehicle Dynamics Using a Novel 2D Wheel-Rail Contact Model
EMS '13: Proceedings of the 2013 European Modelling SymposiumThis paper describes efficient modeling and simulation method which can be employed for fast and real time simulations of hybrid intelligent systems from railway vehicles using a novel 2D wheel-rail contact model. It presents the development of a novel ...
Using different digital tools in designing and solving mathematical modelling problems
AbstractWhile existing studies acknowledge the importance of using technology in the mathematical modelling process, questions about how to integrate digital tools into mathematical modelling are not still answered. This study aims to examine pre-service ...
Comments
Information & Contributors
Information
Published In
February 2023
192 pages
ISBN:9781450399500
DOI:10.1145/3588155
Copyright © 2023 ACM.
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].
Publisher
Association for Computing Machinery
New York, NY, United States
Publication History
Published: 12 June 2023
Check for updates
Author Tags
Qualifiers
- Research-article
- Research
- Refereed limited
Conference
APIT 2023
APIT 2023: 2023 5th Asia Pacific Information Technology Conference
February 9 - 11, 2023
Ho Chi Minh City, Vietnam
Contributors
Other Metrics
Bibliometrics & Citations
Bibliometrics
Article Metrics
- 0Total Citations
- 25Total Downloads
- Downloads (Last 12 months)11
- Downloads (Last 6 weeks)1
Reflects downloads up to 15 Feb 2025
Other Metrics
Citations
View Options
Login options
Check if you have access through your login credentials or your institution to get full access on this article.
Sign inFull Access
View options
View or Download as a PDF file.
PDFeReader
View online with eReader.
eReaderHTML Format
View this article in HTML Format.
HTML Format