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International Journal of Neural Network, 2022, 3(3); doi: 10.38007/NN.2022.030307.

Performance Evaluation of Enterprise Financial Work Based on BP Neural Network


Zhaoyang Wu

Corresponding Author:
Zhaoyang Wu

Qinghai Normal University, Qinghai, China


Comprehensively and scientifically evaluating the work results and financial performance of enterprise development is an important project in enterprise development. In order to solve the shortcomings of the existing research on the performance evaluation of enterprise financial work, this paper discusses the function equation of BP neural network and the constituent elements of the performance evaluation of enterprise financial work, and aims at the performance evaluation of enterprise financial work based on BP neural network. The evaluation indicators and parameter settings of the model application are briefly introduced. And the structure of the financial work performance evaluation model proposed in this paper is designed and discussed. Finally, the financial work performance evaluation model designed in this paper is compared with the training data, target data and real data of the financial work performance evaluation of six different types of enterprises. The experimental data show that the training data of the financial work performance evaluation model designed in this paper is not much different from the target data and the real data. About 1.5%, and the error between training data and target data is only about 1.2%, so it verifies the reliability of the application of the enterprise financial work performance evaluation model based on BP neural network.


BP Neural Network, Enterprise Finance, Job Performance, Performance Evaluation

Cite This Paper

Zhaoyang Wu. Performance Evaluation of Enterprise Financial Work Based on BP Neural Network. International Journal of Neural Network (2022), Vol. 3, Issue 3: 56-64. https://doi.org/10.38007/NN.2022.030307.


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