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| Seeker Cabin Temperature Prediction Based on Elman Neural Network in Airport Parking Conditions |
| Received:May 29, 2020 Revised:June 20, 2020 |
| View Full Text View/Add Comment Download reader |
| DOI：10.7643/issn.1672-9242.2020.07.005 |
| KeyWord:parking temperature conditions prediction elman network missile seeker cabin |
| Author | Institution |
| LU Yao |
China Aero-Polytechnology Establishment, Beijing , China;Key Laboratory of Quality Infrastructure Efficacy Research, AQSIQ, Beijing , China |
| ZHANG Jian-jun |
China Aero-Polytechnology Establishment, Beijing , China;Key Laboratory of Quality Infrastructure Efficacy Research, AQSIQ, Beijing , China |
| FU Yun |
China Aero-Polytechnology Establishment, Beijing , China;Key Laboratory of Quality Infrastructure Efficacy Research, AQSIQ, Beijing , China |
| LIU Cong |
Southwest Technology and Engineering Research Institute, Chongqing , China |
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| Abstract: |
| The paper aims to propose a method for predicting the high temperature in the seeker cabin to solve the problem that it is difficult to obtain the high temperature extreme value in a short time in the site temperature measurement and customize the high temperature environment conditions for airplane parking of missile seeker cabin. An Elman network model for temperature prediction was established based on seeker cabin measured data. Compared with BP network model, linear network model, the prediction capacity of the three models were evaluated in terms of mean square error (MSE), mean relative error (MRE), maximum absolute error (MAE) and other indicators. The precision oftemperature prediction model based on Elman network was about 1 ℃ higher than that of BP network, and was about 1.5 ℃ higher than that of linear network.Elman network temperature prediction model has the ability to accurately predict the temperature in the seeker cabin. This method can be used to predict the parking temperature of missiles. It provides reference for determining the environmental adaptability conditions of missile storage temperature. |
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