Journal
NEURAL COMPUTING & APPLICATIONS
Volume 19, Issue 3, Pages 367-375Publisher
SPRINGER
DOI: 10.1007/s00521-009-0279-6
Keywords
Neural network; Building; Response; Earthquake; Structure
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This article uses powerful technique of artificial neural network (ANN) models to simulate and estimate structural response of two-storey shear building by training the model for a particular earthquake. The neural network is first trained for a real earthquake data and the numerically generated responses of different floors of two-storey buildings as the training patterns. Trained ANN architecture is then used to simulate and test the structural response of different floors for various intensity earthquake data and it is found that the predicted responses given by ANN model are good for practical purposes. It is worth mentioning that although the simulation is done with numerically generated response data for particular earthquake, the idea may also be used for actual experimental (response) data.
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