- Category:
- Other systems
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- File Size:
- 437kb
- Update:
- 2020-05-23
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- Uploaded by:
- nz106
Description: In the data table of 600085, XZSLX synthesis is used as input and closing price as output.
The former 595 data are used as training samples, and the latter 100 data are used as actual output.
Through training data to build a model, the final output of 100 predicted stock closing prices.
By comparing the predicted closing price with the actual closing price and calculating the error, the accuracy of the established model can be judged.
BP neural network is implemented by calling newff function.
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File list (Check if you may need any files):
| Filename | Size | Date |
|---|
| 600085.xlsx | 239634 | 2019-06-13
|
| RBF.m | 1365 | 2019-06-13
|
| RBF.jpg | 72829 | 2019-06-13
|
| BP.jpg | 72637 | 2019-06-13
|
| BP.m | 1084 | 2019-06-13
|
| 分别采用BP神经网络和RBF神经网络实现股票预测功能说明.docx | 176931 | 2019-06-13 |
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