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| BP网络的优化及其在光纤陀螺温度漂移建模中的应用 | |
| 引用本文： | 尹文龙,谭月辉,张俊萍,梁欣. BP网络的优化及其在光纤陀螺温度漂移建模中的应用[J]. 军械工程学院学报, 2006, 18(1): 65-67 |
| 作者姓名： | 尹文龙 谭月辉 张俊萍 梁欣 |
| 作者单位： | 军械工程学院计算机工程系 河北石家庄050003 |
| 摘 要： | 针对BP网络存在易陷入局部极小和收敛速度慢的问题,采用遗传算法(GA)优化BP网络;采用混配的方法,对遗传算法进行了改进,克服了遗传算法中所存在的种群内过早收敛的缺点,并在光纤陀螺温度漂移建模中,取得了预测的效果。 |
| 关 键 词： | 人工神经网络 遗传算法 混配 光纤陀螺 温度漂移 |
| 文章编号： | 1008-2956(2006)01-0065-03 |
| 修稿时间： | 2005-09-02 |
Optimization of BP Neural Network and its Application in Modeling of Fiber Optic Gyroscope Temperature Drift |
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| YIN Wen-long,TAN Yue-hui,ZHANG Jun-ping,LIANG Xin. Optimization of BP Neural Network and its Application in Modeling of Fiber Optic Gyroscope Temperature Drift[J]. Journal of Ordnance Engineering College, 2006, 18(1): 65-67 | |
| Authors: | YIN Wen-long TAN Yue-hui ZHANG Jun-ping LIANG Xin |
| Abstract: | To solve the problem of local minimum and slowly converging in BP neural network,this paper uses genetic algorithm to optimize the BP neural network.A novel method named commingle copulation is used to overcome the shortcoming of converging too fast existing in species in genetic algorithm.The simulation result showes that the method can be used to identify the temperature drift model of FOG. |
| Keywords: | artificial neural network genetic algorithm commingle copulation fiber optic gyroscope temperature drift |
| 本文献已被 CNKI 维普 等数据库收录！ | |