Enterprise Financial Risk Prevention and Control and Data Analysis Method Based on Blockchain Technology

【Author】 Liu, Julin; Chen, Ken

【Source】MOBILE INFORMATION SYSTEMS

【影响因子】1.863

【Abstract】With the development of engineering technology and computer networks, artificial neural networks, which mimic human brain neural networks, are being used in financial market forecasting to improve the accuracy of stock predictions and are making significant progress. Therefore, there is a great need to actively investigate the method of financial data analysis based on blockchain technology. The purpose of this paper is to investigate the neural network method of financial data analysis based on blockchain technology. Shanghai Index and Shenzhen 200 Index are chosen as experimental data, which are divided into two subsets: training and test samples. The BP model is constructed based on blockchain technology to analyze MARE, RMSRE, MSPEE, RMSPE, and MARE errors. The results show that the mean absolute error rate (MARE), RMSPE, and MSPEE of training samples of blockchain-based BP model are 0.0056, 0.0787, and 0.0085, respectively. Blockchain-based BP model plays an important role in solving financial data analysis problems.

【Keywords】

【发表时间】2022 JUN 23

【收录时间】2022-07-17

【文献类型】理论性文章

【主题类别】

区块链应用-虚拟经济-金融领域