基于融合粒子群的高等数学辅助教学系统设计

doi:10.16039/j.cnki.cn22-1249.2021.05.017

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摘要

为提高高等数学辅助教学的资源共享和调度水平，提出了一种基于粒子群优化算法的高等数学辅助教学系统设计。构建了高等数学教学资源融合模型，利用融合粒子群优化算法实现了高等数学辅助教学资源的自适应调度，提取了高等数学辅助教学资源的自相关特征量，通过模糊相关特征匹配和统计分析方法，实现高等数学辅助教学资源融合的自适应优化，并对粒子群优化过程中统计特征的组合进行分析和控制，实现了资源调度和信息融合，提高了高等数学辅助教学的管理能力。仿真结果表明，所设计系统的教学信息资源整合程度高，信息调度能力强，高等数学辅助教学管理水平得到提高。

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	左学武

关键词: 融合粒子群高等数学辅助教学系统设计资源调度

Abstract:

In order to improve the level of resource sharing and scheduling in higher mathematics teaching, this paper proposes a design of advanced mathematics teaching assistant system based on particle swarm optimization algorithm. In this paper, the model of higher mathematics teaching resources fusion is constructed, and the adaptive scheduling of higher mathematics auxiliary teaching resources is realized by using the fusion particle swarm optimization algorithm. The autocorrelation feature quantity of higher mathematics auxiliary teaching resources is extracted. Through the fuzzy correlation feature matching and statistical analysis method, the adaptive optimization of higher mathematics auxiliary teaching resources fusion is realized, and the particle swarm optimization is carried out In the process, the combination of statistical features is analyzed and controlled to realize resource scheduling and information fusion, and improve the management ability of higher mathematics auxiliary teaching. The simulation results show that the teaching information resources integration degree of the designed system is high, the information scheduling ability is strong, and the management level of higher mathematics auxiliary teaching is improved.

Key words: fusion particle swarm optimization advanced mathematics auxiliary teaching system design resource scheduling

出版日期: 2021-05-25 发布日期: 2021-05-25 整期出版日期: 2021-05-25

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引用本文:

左学武. 基于融合粒子群的高等数学辅助教学系统设计 [J]. 吉林化工学院学报, 2021, 38(5): 80-84.
ZUO Xuewu. Design of Advanced Mathematics Aided Instruction System Based on Fusion Particle Swarm Optimization . Journal of Jilin Institute of Chemical Technology, 2021, 38(5): 80-84.

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https://xuebao.jlict.edu.cn/CN/10.16039/j.cnki.cn22-1249.2021.05.017 或 https://xuebao.jlict.edu.cn/CN/Y2021/V38/I5/80

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