Zhiyu Zhang1, Zhuoran Li2
Revista Internacional de Métodos Numéricos para Cálculo y Diseño en Ingeniería, Vol.40, No.2, pp. 1-10, 2024, DOI:10.23967/j.rimni.2024.05.010
- 04 June 2024
Abstract This research aims to explore the method of combining digital twins (DTs) with Convolutional Neural Network (CNN) algorithms to analyze the attraction of museum historical and cultural exhibits to achieve intelligent and digital development of museum exhibitions. Firstly, the DTs technology is used to digitally model the museum's historical and cultural exhibits, realizing virtual exhibit display and interaction. Then, the Mini_Xception network is proposed to improve the CNN algorithm, which is combined with the ResNet algorithm to construct a human facial emotion recognition model. Finally, the proposed model is used to accurately predict the attraction More >
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