Intelligent Analysis and Processing Technology of Financial Big Data Based on Neural Network Algorithm
DOI: 10.23977/jaip.2023.060206 | Downloads: 4 | Views: 424
Author(s)
Baifang Liu 1, Liqiu Sui 2
Affiliation(s)
1 School of Business, Beijing Language and Culture University, Beijing, China
2 Weifang Bank, Weifang, Shandong, China
Corresponding Author
Baifang LiuABSTRACT
In modern society, with the continuous development and application of emerging technologies such as computer technology, network computing and artificial intelligence, financial data analysis has become an important part of enterprise management. By analyzing the traditional accounting workflow and big data theory, and combined with the actual situation, this paper establishes an effective and accurate algorithm model. Firstly, this paper analyzes the definition and characteristics of financial big data, and then this paper studies the intelligent analysis technology based on neural network algorithm. Then, based on the algorithm, this paper designs the operation framework of financial big data intelligent analysis and processing technology, and carries out simulation experiments on the framework based on the algorithm. Finally, the experimental results show that the execution time and delay time of the algorithm are maintained at 2-3 seconds, and the occupied memory size is also maintained at about 3%. This shows that the neural network algorithm fully meets the needs of intelligent analysis of financial data.
KEYWORDS
Neural Network Algorithm, Financial Data, Intelligent Analysis, Processing TechnologyCITE THIS PAPER
Baifang Liu, Liqiu Sui, Intelligent Analysis and Processing Technology of Financial Big Data Based on Neural Network Algorithm. Journal of Artificial Intelligence Practice (2023) Vol. 6: 39-44. DOI: http://dx.doi.org/10.23977/jaip.2023.060206.
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