Research on Performance Degradation Modeling for Machine Gun’s Barrel Based on FOAGRNN
Yanfeng Cao, Cheng Xu
Available Online December 2015.
- https://doi.org/10.2991/icmmcce-15.2015.491How to use a DOI?
- fruit fly optimization algorithm; general regression neural network; performance degradation; forecast.
- A method to establish performance degradation model for barrel based on general regression neural network with fruit fly optimization algorithm (FOAGRNN) was proposed. It took the muzzle velocity reduction as performance degradation feature with the increase in the number of shooting ammunition quantity under various working conditions, based on the performance degradation experimental data of barrel. The forecasting results were basically consistent with experimental results, which proved the feasibility of the method.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Yanfeng Cao AU - Cheng Xu PY - 2015/12 DA - 2015/12 TI - Research on Performance Degradation Modeling for Machine Gun’s Barrel Based on FOAGRNN BT - Proceedings of the 4th International Conference on Mechatronics, Materials, Chemistry and Computer Engineering 2015 PB - Atlantis Press SN - 2352-538X UR - https://doi.org/10.2991/icmmcce-15.2015.491 DO - https://doi.org/10.2991/icmmcce-15.2015.491 ID - Cao2015/12 ER -