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University reputation crisis warning research on the new media environment by the use of BP neural network

机译:BP神经网络在新媒体环境下的大学声誉危机预警研究

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With the deepening of social change and the rapid development of information and communication industries, the social environment is becoming more and more complex, which not only brings some opportunities but also some uncertain factors at the same time. And these uncertain factors can lead to the crisis, and disrupt the university reputation. To reduce the harm the crisis brings, we should focus on the construction of crisis warning system, so that we can spend a small amount of money to prevent, rather than spend a lot of money to treat. Based on the existing literature, this paper tries to utilize the data mining techniques to study how to prevent the university crises on the new media environment by the use of BP neural network method, and thus explore the establishment of universities crisis warning system.
机译:随着社会变革的不断深入和信息通信产业的飞速发展,社会环境日益复杂,不仅带来了机遇,也带来了不确定因素。这些不确定因素可能导致危机,并破坏大学声誉。为了减少危机带来的危害,我们应该着重于危机预警系统的建设,这样我们就可以花少量的钱来预防,而不是花很多钱去治疗。本文在现有文献的基础上,尝试利用数据挖掘技术,通过BP神经网络方法研究如何防止大学在新媒体环境下发生危机,从而探索建立大学危机预警系统。

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