IDEAS home Printed from https://ideas.repec.org/a/hin/jnlmpe/7564988.html
   My bibliography  Save this article

Research on the Application of a Universal Design Model for Urban Healthy Living Based on Artificial Intelligence Computing

Author

Listed:
  • Wei Zhang
  • Jingliang Li
  • Xiaoxiao Wang
  • Gengxin Sun

Abstract

Along with the continuous improvement of living standard, people gradually improve the design quality of urban living space and require the living space to meet the standard of health design concept. This paper mainly focuses on the health concept of urban living space design, briefly elaborates on the health design concept of living space, and designs a soft furnishing layout model based on DBN according to the advantages of deep confidence network compared with BP neural network. The effect of the two models in the practical application of soft furnishing layout is explored, which is very important for the practical application.

Suggested Citation

  • Wei Zhang & Jingliang Li & Xiaoxiao Wang & Gengxin Sun, 2022. "Research on the Application of a Universal Design Model for Urban Healthy Living Based on Artificial Intelligence Computing," Mathematical Problems in Engineering, Hindawi, vol. 2022, pages 1-9, May.
    • Handle: RePEc:hin:jnlmpe:7564988
    DOI: 10.1155/2022/7564988
    as

    Download full text from publisher

    File URL: http://downloads.hindawi.com/journals/mpe/2022/7564988.pdf
    Download Restriction: no
    File URL: http://downloads.hindawi.com/journals/mpe/2022/7564988.xml
    Download Restriction: no
    File URL: https://libkey.io/10.1155/2022/7564988?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:hin:jnlmpe:7564988. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Mohamed Abdelhakeem (email available below). General contact details of provider: https://www.hindawi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.