摘要
组合预测是预测领域的一个重要的研究方向.结合支撑矢量机和小波理论的优点,提出了一种基于小波支撑矢量机的非线性组合预测模型,其预测精度比各种单一预测方法大大提高.将该组合预测模型用于导弹惯性器件故障预报中,仿真结果验证了算法的可行性和有效性.
Combination forecastion is a very important aspect in forecasting field. A combination forecastion model combining the advantages of suppoprt vector machine and wavelet theory is presented. Its forecastion precision is much better than various single forecastion way. This model is used in fault prediction of inertial device of missile, and the simulation experiment proves that the algorithm is valid and acceptable.
出处
《战术导弹技术》
北大核心
2006年第4期84-88,共5页
Tactical Missile Technology
关键词
子波核函数
小波支撑矢量机
组合预测
惯性器件
故障预报
wavelet kernel function
wavelet support vector machine (WSVM)
combination forecastion
inertial device
fault prediction