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Research on Decision Support Model Based on Decision Tree-Modified Back Propagation Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Liang, Junqing Lv, Xiaolin Zhao, Jianshi Leng, Yue |
| Copyright Year | 2019 |
| Description | Journal: Journal of Physics: Conference Series In the context of today's global economic integration, various commercial network-based trading activities have become increasingly frequent. The gap in Chinese enterprises tends to be extreme. The introduction of the investment decision model helps to alleviate the extreme trend of the enterprise. The decision support model which based on decision tree and BP neural network has a good effect on financial investment. Both decision tree and BP neural network are the advantages of machine learning. This paper combines decision tree algorithm with BP neural network algorithm and uses the genetic algorithm improves the neural network model to form a financial decision model. Therefore, the model can make feasible and effective results for large data sources in a relatively short time, and the accuracy of the obtained results is high. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1325/1/012068/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1325/1/012068 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1325 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2019-10-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Industrial Engineering Neural Network Algorithm Decision Tree Bp Neural |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
