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Study on the application of deep learning to the prediction of disaster prevention literacy in technical high school civil engineering department

机译:深度学习在高中土木工程系防灾素养预测中的应用研究

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Taiwan's education authorities in order to achieve the goal of sustainable development. Promote the “Perpetual Campus Promotion Plan”. Achieving a sustainable campus environment that meets the goals of ecology, environmental protection, health, and energy conservation. The Sustainable Campus Promotion Program promotes disaster prevention education and campus safety by understanding campus geography, history, and ecology. This research area takes a technical high school in Kaohsiung City as an example. The research method is based on the questionnaire survey method of all students in the civil engineering department and conducts related disaster prevention education surveys. Through the research results, we can understand the degree of disaster prevention literacy of students. Use deep learning MPL (Multilayer Perception Mode) to understand correlations in different facets. Study the accuracy of the prediction model and the variation effects of the analysis parameters. And compared with SPSS software analysis results. Improve students' disaster prevention and create a diverse and unique sustainable campus environment.
机译:台湾教育当局为了实现可持续发展的目标。推广“永久校园推广计划”。实现符合生态,环境保护,健康和节能目标的可持续校园环境。可持续校园促进计划通过了解校园的地理,历史和生态状况来促进防灾教育和校园安全。该研究区以高雄市的一所技术高中为例。该研究方法以土木工程系所有学生的问卷调查法为基础,并进行了相关的防灾教育调查。通过研究结果,我们可以了解学生的防灾知识水平。使用深度学习MPL(多层感知模式)来了解不同方面的相关性。研究预测模型的准确性以及分析参数的变化效果。并与SPSS软件进行比较分析结果。改善学生的防灾能力,创造多样化和独特的可持续校园环境。

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