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Empirical Study on Haze Forecasting Model Based on Neural Network
| Content Provider | Scilit |
|---|---|
| Author | Pinghua, Zhang |
| Copyright Year | 2018 |
| Description | Journal: Iop Conference Series: Materials Science and Engineering There are many factors affecting the formation of haze, and the relationship between haze and haze is very complex. The prediction model of BP network with high precision fitting is used to predict the haze based on BP neural network. First, establishing an index system that affects the haze factors. Secondly, the neural network haze prediction model is established. Finally, the BP neural network is used to predict the number of days of the year. The results show that the model has high feasibility and rationality, and has obtained accurate and reliable results, which provides valuable reference for improving the air monitoring of relevant departments. |
| Related Links | http://iopscience.iop.org/article/10.1088/1757-899X/439/3/032073/pdf |
| ISSN | 17578981 |
| e-ISSN | 1757899X |
| DOI | 10.1088/1757-899x/439/3/032073 |
| Journal | Iop Conference Series: Materials Science and Engineering |
| Issue Number | 3 |
| Volume Number | 439 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2018-11-05 |
| Access Restriction | Open |
| Subject Keyword | Journal: Iop Conference Series: Materials Science and Engineering Haze Prediction Prediction Model Bp Neural Network |
| Content Type | Text |
| Resource Type | Article |
