Amin, N and Su, D ORCID: https://orcid.org/0000-0002-9541-8869, 2003. Enhancement of speed and efficiency of an Internet based gear design optimisation. International Journal of Automotive Technology and Management, 3 (34), pp. 279-292. ISSN 1470-9511
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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.
Item Type: | Journal article |
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Publication Title: | International Journal of Automotive Technology and Management |
Creators: | Amin, N. and Su, D. |
Publisher: | Inderscience |
Place of Publication: | Olney, Bucks |
Date: | 2003 |
Volume: | 3 |
Number: | 34 |
ISSN: | 1470-9511 |
Identifiers: | Number Type 10.1504/IJATM.2003.003808 DOI |
Rights: | Copyright © 2003 Inderscience Enterprises Limited. All rights reserved. |
Divisions: | Schools > School of Architecture, Design and the Built Environment |
Record created by: | EPrints Services |
Date Added: | 09 Oct 2015 09:48 |
Last Modified: | 09 Jun 2017 13:11 |
URI: | https://irep.ntu.ac.uk/id/eprint/2949 |
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