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Combined Forecasting Method of Ammunition Consumption Based on Wavelet Network
| Content Provider | Scilit |
|---|---|
| Author | Li, Kang Shi, Xianming Li, Yuan Zhao, Mei |
| Copyright Year | 2020 |
| Description | Journal: Journal of Physics: Conference Series In order to solve the problem that the result of a single algorithm for ammunition consumption prediction is not accurate enough, a combination forecasting method of ammunition consumption based on a wavelet network is proposed. This paper combines three classical methods, namely, task volume estimation method, battle case estimation method and ammunition consumption standard estimation method, which are most commonly used in ammunition consumption prediction, and takes the prediction result of a single method as the input of neural network. By replacing the transfer function of traditional neural network with wavelet basis function, a combined forecasting model of ammunition consumption based on wavelet network is established. The calculation of the example shows that the fitting speed of this method is fast and the accuracy of the result is higher. |
| Related Links | https://iopscience.iop.org/article/10.1088/1742-6596/1670/1/012028/pdf |
| ISSN | 17426588 |
| e-ISSN | 17426596 |
| DOI | 10.1088/1742-6596/1670/1/012028 |
| Journal | Journal of Physics: Conference Series |
| Issue Number | 1 |
| Volume Number | 1670 |
| Language | English |
| Publisher | IOP Publishing |
| Publisher Date | 2020-11-01 |
| Access Restriction | Open |
| Subject Keyword | Journal: Journal of Physics: Conference Series Characterization and Testing of Materials Ammunition Consumption Based Combined Forecasting Consumption Based On Wavelet Network |
| Content Type | Text |
| Resource Type | Article |
| Subject | Physics and Astronomy |
