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

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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.

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

Item type Book Section
URI https://vuir.vu.edu.au/id/eprint/25274
DOI https://doi.org/10.4203/ccp.84.56
Official URL http://www.ctresources.info/ccp/paper.html?id=4131
ISBN 9781905088119
Subjects Historical > FOR Classification > 0802 Computation Theory and Mathematics
Current > Division/Research > College of Science and Engineering
Keywords neural network, genetic algorithm, light structures, clamping method, connection weights analysis, Garson's algorithm, Spearmans's rank correlation
Citations in Scopus 3 - View on Scopus
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