IDEAS home Printed from https://ideas.repec.org/a/ids/ijatma/v3y2003i3-4p279-292.html
   My bibliography  Save this article

Enhancement of speed and efficiency of an internet-based gear design optimisation

Author

Listed:
  • Nariman Amin
  • Daizhong Su

Abstract

An internet-based gear design optimisation program has been developed for geographically dispersed teams to collaborate over the internet. The optimisation program implements genetic algorithm. A novel methodology is presented that improves the speed of execution of the optimisation program by integrating artificial neural networks into the system. The paper also proposes a method that allows an improvement to the performance of the back propagation-learning algorithm. This is done by rescaling the output data patterns to lie slightly below and above the two extreme values of the full range neural activation function. Experimental tests show the reduction of execution time by approximately 50%, as well as an improvement in the training and generalisation errors and the rate of learning of the network.

Suggested Citation

  • Nariman Amin & Daizhong Su, 2003. "Enhancement of speed and efficiency of an internet-based gear design optimisation," International Journal of Automotive Technology and Management, Inderscience Enterprises Ltd, vol. 3(3/4), pages 279-292.
    • Handle: RePEc:ids:ijatma:v:3:y:2003:i:3/4:p:279-292
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=3808
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    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:ids:ijatma:v:3:y:2003:i:3/4:p:279-292. 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: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=2 .

    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.