Research Article
Intelligent Classification System of Financial Statistics Information Based on Recurrent Neural Network
@INPROCEEDINGS{10.1007/978-3-030-82562-1_33, author={Conggang Lv}, title={Intelligent Classification System of Financial Statistics Information Based on Recurrent Neural Network}, proceedings={Multimedia Technology and Enhanced Learning. Third EAI International Conference, ICMTEL 2021, Virtual Event, April 8--9, 2021, Proceedings, Part I}, proceedings_a={ICMTEL}, year={2021}, month={7}, keywords={Neural network Financial statistics Information classification Information security}, doi={10.1007/978-3-030-82562-1_33} }- Conggang Lv
Year: 2021
Intelligent Classification System of Financial Statistics Information Based on Recurrent Neural Network
ICMTEL
Springer
DOI: 10.1007/978-3-030-82562-1_33
Abstract
The establishment of the information classification system plays a pivotal role in the fiscal information disclosure system. The fiscal statistical information classification is the basis for compiling the fiscal information disclosure catalogue and the prerequisite for the construction of the fiscal information disclosure catalog system. In order to better realize the effective processing of financial information, this research proposes an intelligent classification system for financial statistics information based on recurrent neural networks. First, optimize the system hardware structure and calculate the information security to ensure the accuracy and safety of financial statistics. Finally, it is confirmed by experiments that the intelligent classification system of financial statistics information based on recurrent neural network works better in actual application.
