Financial performance evaluation and forecasting of enterprises by the combination of PCA and CNN deep learning

Ruisong LI; Hongjiu LIU; Yanrong HU

doi:10.1007/s11704-023-2494-1

Front. Comput. Sci. ›› 2023, Vol. 17 ›› Issue (6) : 176345 DOI: 10.1007/s11704-023-2494-1

Artificial Intelligence

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Financial performance evaluation and forecasting of enterprises by the combination of PCA and CNN deep learning

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Ruisong LI, Hongjiu LIU, Yanrong HU. Financial performance evaluation and forecasting of enterprises by the combination of PCA and CNN deep learning. Front. Comput. Sci., 2023, 17(6): 176345 DOI:10.1007/s11704-023-2494-1

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References

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[1]	Xing Y J, Chen X . Model for evaluating the virtual enterprise’s risk with 2-tuple linguistic information. Journal of Intelligent & Fuzzy Systems, 2016, 31( 1): 193–200

[2]	Wei F, Lu J, Kong Y . Research on sustainability financial performance of Chinese listed companies. Sustainability, 2017, 9( 5): 723

[3]	Ding I J, Zheng N W, Hsieh M C, Hsieh W H . Hand gesture intention-based identity recognition using various recognition strategies incorporated with VGG convolution neural network-extracted Deep Learning features. Journal of Intelligent & Fuzzy Systems, 2021, 40( 4): 7775–7788

[4]	Chen H, Li J, Gao J, Sun Y, Hu Y, Yin B . Maximally correlated principal component analysis based on deep parameterization learning. ACM Transactions on Knowledge Discovery from Data, 2019, 13( 4): 39

[5]	Liu Y, Zhao S, Wang Q, Gao Q . Learning more distinctive representation by enhanced PCA network. Neurocomputing, 2018, 275: 924–931

[6]	Sun J, Lang J, Fujita H, Li H . Imbalanced enterprise credit evaluation with DTE-SBD: decision tree ensemble based on SMOTE and bagging with differentiated sampling rates. Information Sciences, 2018, 425: 76–91

[7]	Liberati C, Camillo F, Saporta G . Advances in credit scoring: combining performance and interpretation in kernel discriminant analysis. Advances in Data Analysis and Classification, 2017, 11( 1): 121–138

[8]	Zhang L, Song Q . Multimodel integrated enterprise credit evaluation method based on attention mechanism. Computational Intelligence and Neuroscience, 2022, 2022: 8612759