Research Repository

Selection of Important Input Parameters Using Neural Network Trained with Genetic Algorithm for Damage to Light Structures

Osman, N. Y, Ng, A. W. M and McManus, K. J (2006) Selection of Important Input Parameters Using Neural Network Trained with Genetic Algorithm for Damage to Light Structures. In: Proceedings of the Fifth International Conference on Engineering Computational Technology. Topping, B. H. V, Montero, G and Montenegro, R, eds. Civil-Comp Press, Stirlingshire, UK, pp. 123-124.

Full text for this resource is not available from the Research Repository.
Item Type: Book Section
ISBN: 9781905088119
Additional Information:

Conference was held at Las Palmas de Gran Canaria, Spain 12-15 September 2006

Uncontrolled Keywords: neural network, genetic algorithm, light structures, clamping method, connection weights analysis, Garson's algorithm, Spearmans's rank correlation
Subjects: FOR Classification > 0802 Computation Theory and Mathematics
Faculty/School/Research Centre/Department > College of Science and Engineering
Depositing User: VUIR
Date Deposited: 12 Jun 2014 00:09
Last Modified: 12 Jun 2014 00:09
URI: http://vuir.vu.edu.au/id/eprint/25274
DOI: https://doi.org/10.4203/ccp.84.56
ePrint Statistics: View download statistics for this item
Citations in Scopus: 3 - View on Scopus

Repository staff only

View Item View Item

Search Google Scholar