IDEAS home Printed from https://ideas.repec.org/a/ibn/masjnl/v2y2008i5p163.html
   My bibliography  Save this article

The Application of BP Artificial Neural Network in Fabric Warmth Retention Test

Author

Listed:
  • Gaoyang Zhang
  • Guangli Song

Abstract

The fabric warmth retention test is a complex process that is influenced by various factors, so errors often appear in the test. There lies a function relation between the fabric thickness, gram weight and warmth retention rate, CLO value. Artificial neural network BP algorithm was used to simulate the function mapping relation, and realized the automatic mapping from basic performance to warmth retention performance, and exhibited high mapping precision, it could also be used to amend the numerical value and reduce errors. It is demonstrated that the method is of high efficiency.

Suggested Citation

  • Gaoyang Zhang & Guangli Song, 2008. "The Application of BP Artificial Neural Network in Fabric Warmth Retention Test," Modern Applied Science, Canadian Center of Science and Education, vol. 2(5), pages 163-163, September.
    • Handle: RePEc:ibn:masjnl:v:2:y:2008:i:5:p:163
    as

    Download full text from publisher

    File URL: https://ccsenet.org/journal/index.php/mas/article/download/2247/2097
    Download Restriction: no
    File URL: https://ccsenet.org/journal/index.php/mas/article/view/2247
    Download Restriction: no
    ---><---

    More about this item

    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

    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:ibn:masjnl:v:2:y:2008:i:5:p:163. 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: Canadian Center of Science and Education (email available below). General contact details of provider: https://edirc.repec.org/data/cepflch.html .

    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.