基于BP神经网络的校园网络舆情危机预警研究  

Research on campus network public opinion crisis early warning based on BP neural network

作　　者：郑秀月 ZHENG Xiu-yue(Fuzhou Liming Vocational and Technical College,Fuzhou 350001,China)

机构地区：[1]福州黎明职业技术学院,福州350001

出　　处：《齐齐哈尔大学学报（自然科学版）》2021年第6期14-16,20,共4页Journal of Qiqihar University(Natural Science Edition)

摘　　要：对于校园网络舆情危机的处理重点是要建立针对于校园网络舆情危机预警指标体系,并且通过科学的计算进行评估。拟在构建校园网络舆情危机预警指标体系的基础上,引入BP神经网络的算法,进而实现网络危机事件的定量评估。最后通过计算机模拟仿真实验,结合“某高校王某恢复招研资格”的事件对该模型进行检测与分析,并得出分析结论和反思内容。The emphasis of dealing with campus network public opinion crisis is to establish an early warning index system for campus network public opinion crisis, and to evaluate it through scientific calculation. Based on the construction of campus network public opinion crisis warning index system, this paper introduces the algorithm of BP neural network, and then realizes the quantitative evaluation of network crisis events. Finally, the model is tested and analyzed by computer simulation experiment, combined with the event of "Wang Mou restoring the qualification of recruitment and research in a certain university", and the analysis conclusion and reflection content are obtained.

关 键 词：BP神经网络算法 校园网络舆情 危机管理生命周期理论 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]