Intelligent Analysis and Processing System of Financial Big Data Based on Neural Network Algorithm

Abstract

AbstractWith the continuous development of computer technology, data mining has gradually become an indispensable part of enterprise information management. Traditional enterprises have been unable to meet the needs of modern economy and Society for talents, and big data, as a new technology, appears in the field of internal information processing. Financial analysis is to comprehensively evaluate the company’s daily business activities, comprehensively grasp and reasonably allocate resources, so as to improve efficiency and reduce costs. Therefore, using neural network algorithm to realize big data prediction is more and more important and practical for modern enterprises. This paper first expounds the concept of financial big data and the characteristics of data intelligent analysis, and then introduces the application of neural network model. Then, it will study based on financial big data, design a complete and effective neural network intelligent algorithm system that can be applied in practice, and test the effectiveness of financial big data intelligent analysis and processing system. Finally, the experiment shows that the difference between the predicted value and the actual error value of the system data is small, and the effectiveness is very high. At the same time, the performance of data processing meets the needs of users, which can improve work efficiency and reduce labor cost.KeywordsNeural network algorithmFinancial big dataIntelligent analysisAnalysis and processing