Construction of Financial Management Early Warning Model Based on Improved Ant Colony Neural Network
| Autor: | Meiluan Wang |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Financial Management
General Computer Science Operations research Article Subject Computer science General Mathematics Computer applications to medicine. Medical informatics R858-859.7 Neurosciences. Biological psychiatry. Neuropsychiatry Economic globalization Financial management Artificial neural network business.industry General Neuroscience Ant colony optimization algorithms Financial risk General Medicine Ant colony Early warning system Neural Networks Computer business Capital market Algorithms Forecasting Research Article RC321-571 |
| Zdroj: | Computational Intelligence and Neuroscience, Vol 2021 (2021) Computational Intelligence and Neuroscience |
| ISSN: | 1687-5265 |
| DOI: | 10.1155/2021/6748920 |
| Popis: | With the advent of the era of economic globalization, the world capital market is also facing financial risks. It is necessary to have a corresponding financial management early warning model to reduce economic losses. This paper uses the combination of ant colony algorithm and neural network algorithm to build a neural network improved by ant colony algorithm model. By setting relevant assumptions, the financial statements and annual report texts are predicted and analyzed and compared with the original static data forecasting model. Compared with traditional methods, the time series sequencing analysis used in this paper makes the result prediction more accurate. This allows one year’s data to be used to predict the data for the next two years. This research can provide a corresponding reference for the optimization of financial management early warning system. |
| Databáze: | OpenAIRE |
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