说明：  ：为了提高最小二乘支持向量回归机的性能，将Morlet小波核函数引入其中，形成了最小二乘小波支 持向量回归机模型。利用待优化的参数重构模型的目标函数和约束条件，并在此基础上通过遗传算法进行参数 选择，从而提高了该模型的泛化能力。将最小二乘小波支持向量回归机应用于导弹陀螺仪的漂移趋势预测，仿真 实验结果表明了该方法的有效性和可行性，因此可以为陀螺仪的故障预报、可靠性辅助决策提供依据。
(To improve the ability of least square support vector regression algorithm，a least square wavelet support vector regression model by introducing the Morlet wavelet kernel is presented．The object function and constraint condition are reconstructed by the parameters to be optimized．On the base of it，the model parame— ters are optimized through genetic algorithm．As a result，the model attains the better generalization ability． The least square wavelet support vector regression model is used tO forecast the missile gyroscope’S drift tend— ency．The simulation experiment results indicate the feasibility and validation of the algorithm．So it can provide basis for the gyroscope’S fault prediction and reliability aid decision．)