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| Research on Temperature Prediction Method of Main Reducer for Chariot |
| Received:March 16, 2016 Revised:November 24, 2016 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/ issn.1672-9242.2016.06.007 |
| KeyWord:Error correction factors temperature prediction ARIMA model BP neural network |
| Author | Institution |
| 李田科 |
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| 沙卫晓 |
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| 李伟 |
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| 于仕财 |
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| Abstract: |
| Objective Temperature prediction of main reducer is demanded.Methods It establish model of ARIMA multi-step prediction based on time series and BP neural network prediction.It put forward temperature prediction method of ARIMA model based on BP neural network correcting errors. Results The method combined nonlinear ability of BP neural network with prediction ability of ARIMA model.It analyze error caused when ARIMA multi-step prediction was used. Error correction factors is calculated based on neural network predicting ARIMA multi-step error. Multi-step prediction error is corrected by combing BP neural network with error correction factors. Conclusion Prediction accuracy is improved by comparison predictive value with actual value. |
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