Big data analysis and empirical research on the financing and investment decision of companies after COVID-19 epidemic situation based on deep learning

The novel corona virus pneumonia has brought pressure on economic development Large and medium-sized companies will also play a key role in the recovery of growth after the outbreak Therefore, it is particularly important to pay attention to the impact of the epidemic on large and medium-sized companies and on the investment and financing of companies Firstly, the structure of the network model of data analysis is designed in this paper, including the design of the network level, the selection of the number of neurons in each level, the determination of the initial weight and other related parameters According to the design of network structure, the evaluation model of investment and financing of listed companies is established Python is used to preprocess the data and train the sample data By comparing the data processed by two training methods, the optimal network classification model is selected The experimental results show that the proposed method can improve the effectiveness of investment and financing decisions of listed companies [ABSTRACT FROM AUTHOR] Copyright of Journal of Intelligent & Fuzzy Systems is the property of IOS Press and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission However, users may print, download, or email articles for individual use This abstract may be abridged No warranty is given about the accuracy of the copy Users should refer to the original published version of the material for the full abstract (Copyright applies to all Abstracts )