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A Study of the Psychological Resilience of the Elderly Based on the Artificial Neural Network

机译:基于人工神经网络的老年人心理弹性研究

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Based on the theory of Artificial Neural Network, the psychological resilience of the elderly was formed using the content analysis method, and 105 persons were chosen as the experimental samples, the psychological resilience analysis was done through literature review and questionnaire. Referring to the American behavioral expert (Connor - Davidson)'s resilience questionnaires, questionnaires were distributed in papers and online among the elderly. Statistical software SPSS was used to conduct the statistical analysis, and differences in resilience were investigated in detail. Afterwards, the BP Artificial Neural Network model was established by Matlab based on the questionnaire results, and the psychological resilience of the elderly was generated on the basis of BP Artificial Neural Network model. In this study, the emotional demands on the psychological resilience of the elderly were constructed, and experiments and statistical analysis were carried out, which would lay a solid foundation for the study of the psychological resilience in theory and method.
机译:根据人工神经网络理论,采用内容分析法形成老年人的心理适应能力,选择105人作为实验样本,通过文献综述和问卷调查的方式对老年人的心理适应能力进行分析。参照美国行为专家(Connor-Davidson)的适应力调查表,该调查表以纸质形式分发,并在线分发给老年人。使用统计软件SPSS进行统计分析,并详细研究了回弹性的差异。然后,由Matlab根据问卷调查结果建立了BP人工神经网络模型,并在BP人工神经网络模型的基础上产生了老年人的心理适应能力。本研究构建了对老年人心理适应能力的情感要求,并进行了实验和统计分析,为理论和方法上的心理适应研究奠定了坚实的基础。

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