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- W2374407593 abstract "To conquer the difficulty in using less data to establish precise mathematical prediction model of the parameters and modal in the process of updating finite element model,a new mathematical model based on the gray theory of adjusting vector neurons weights is introduced.Several different mathematical prediction models are fitted by using the least squares method of model calculation.Two models with the highest prediction accuracy are picked out to constitute the input of the neuron prediction model.The neuron vector summation method is defined with the purpose of a quick and accurate weight calculation.The network is trained by the samples and the final value of the weights is predicted by Gray prediction theory based on the sequence of the weights,which are established by the vector neuron prediction model.The model based on less data can obtain higher accuracy prediction,which is versatile to meet the requirement of engineering calculation.The effectiveness of this model is verified by update instance of the gearbox’s finite element model,therefore,an effective way to update the finite element model is provided." @default.
- W2374407593 created "2016-06-24" @default.
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- W2374407593 date "2013-01-01" @default.
- W2374407593 modified "2023-09-23" @default.
- W2374407593 title "Fitting Algorithm of Gray Neurons and Its Application to Finite Element Model Modification" @default.
- W2374407593 hasPublicationYear "2013" @default.
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