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Relating brain structure images to personality characteristics using 3D convolution neural network

     

摘要

The Keras deep learning framework is employed to study MRI brain data in a preliminary analysis of brain structure using a convolutional neural network.The results obtained are matched with the content of personality questionnaires.The Big Five personality traits provide easy differentiation for dividing personalities into different groups.Until now,the highest accuracy obtained from the results of personality prediction from the analysis of brain structure is about 70%.Although there is still no effective evidence to prove a clear relationship between brain structure and personality,the obtained results could prove helpful in understanding the basic relationship between brain structure and personality characteristics.

著录项

  • 来源
    《智能技术学报》|2021年第3期|P.338-346|共9页
  • 作者单位

    Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Zhuhai China;

    Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Zhuhai ChinaKey Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education College of Computer Science and Technology Jilin University Changchun China;

    Zhuhai Laboratory of Key Laboratory of Symbol Computation and Knowledge Engineering of Ministry of Education Zhuhai College of Jilin University Zhuhai China;

    School of Information&Research Institute Kochi University of Technology Kochi Japan;

    School of Information&Research Institute Kochi University of Technology Kochi Japan;

    School of Information&Research Institute Kochi University of Technology Kochi Japan;

    School of Information&Research Institute Kochi University of Technology Kochi Japan;

  • 原文格式 PDF
  • 正文语种 chi
  • 中图分类 数学分析;
  • 关键词

    convolution; structure; dividing;

  • 入库时间 2023-07-26 02:18:03

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