Intelligent financial management of company based on neural network and fuzzy volatility evaluation
Journal of Intelligent and Fuzzy Systems, ISSN: 1875-8967, Vol: 38, Issue: 6, Page: 7215-7228
2020
- 6Citations
- 16Captures
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Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Article Description
By integrating business processes, financial intelligent management system can provide effective data information with high quality and low cost for strategic decision-making. In this paper, the authors analyze the intelligent financial management of company based on neural network and fuzzy volatility evaluation. With the help of the development and support of information technology, the construction of financial intelligent management center realizes the efficient and standardized business process by building the information system center platform. It is the basis for the smooth operation of process reengineering and can guarantee the successful and safe operation of financial intelligent management center. The correlation dimension information reflecting the financial data abnormal feature is extracted to construct discrimination statistic and test criterion. The abnormal feature of financial data is mined according to the significant difference of discrimination statistic to realize anomaly analysis of financial data. The results show that the accuracy of financial data anomaly mining with this method is better. It has good application value in the financial audit and economic investigation and other fields.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85088702855&origin=inward; http://dx.doi.org/10.3233/jifs-179798; https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/JIFS-179798; https://dx.doi.org/10.3233/jifs-179798; https://content.iospress.com:443/articles/journal-of-intelligent-and-fuzzy-systems/ifs179798
SAGE Publications
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