基于优化理论的反应扩散网络信息传播系统参数识别方法

IF 3.4 3区 计算机科学 Q1 COMPUTER SCIENCE, THEORY & METHODS
Yi Ding, Linhe Zhu
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引用次数: 0

摘要

随着时代的发展,谣言在互联网上迅速传播。本文首先建立了一个具有阿利效应的反应-扩散系统来描述谣言传播过程,并推导出图灵分岔出现的必要条件。接下来,本文展示了一种利用最优控制理论的参数识别方法。最后,通过连续空间和各种复杂网络中的大量参数识别,研究了目标函数中某些参数的大小对参数识别的影响。此外,还研究了不同空间结构下不同参数识别算法的收敛速度和误差大小。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Parameter identification method of a reaction-diffusion network information propagation system based on optimization theory

With the development of the times, rumors spread rapidly on the Internet. Firstly, this paper establishes a reaction-diffusion system with Allee effect to describe the rumor spreading process and derives the necessary conditions for the emergence of Turing bifurcation. Next, a parameter identification approach utilizing optimal control theory is shown. Ultimately, the impact of the magnitude of the certain parameters in the objective function on parameter identification is examined through numerous parameter identifications in continuous space and various complex networks. Additionally, the convergence rates and error magnitudes of different algorithms for parameter identification are studied across different spatial structures.

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来源期刊
Journal of Parallel and Distributed Computing
Journal of Parallel and Distributed Computing 工程技术-计算机:理论方法
CiteScore
10.30
自引率
2.60%
发文量
172
审稿时长
12 months
期刊介绍: This international journal is directed to researchers, engineers, educators, managers, programmers, and users of computers who have particular interests in parallel processing and/or distributed computing. The Journal of Parallel and Distributed Computing publishes original research papers and timely review articles on the theory, design, evaluation, and use of parallel and/or distributed computing systems. The journal also features special issues on these topics; again covering the full range from the design to the use of our targeted systems.
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