摘要
针对标准灰色马尔可夫预测模型抗干扰能力差的局限性,提出了一种基于模糊理论和灰色马尔可夫模型的预测方法。将模糊理论引入预测模型中,从分类方法上对标准灰色马尔可夫模型进行改进,该算法可以有效提高灰色马尔可夫预测模型的预测精度。将这种方法用于某型导弹陀螺仪的漂移预测中,实验证明了这种方法的有效性和可行性。
To improve anti-jamming performance of standard grey Markov forecasting model, a new method based on fuzzy theory and grey-Markov forecasting model is proposed. Fuzzy classification is brought in grey- Markov forecasting model. The improved prediction method is applied in gyroscopic drift forecasting. The result demonstrates its validity and feasibility.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2007年第8期1398-1401,共4页
Systems Engineering and Electronics
关键词
灰色马尔可夫预测模型
模糊分类
陀螺仪漂移预测
grey-Markov forecasting model
fuzzy classification
gyroscopic drift forecasting
