欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
中文摘要：
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。
英文摘要：
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 parameters 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 tendency. 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.
同期刊论文项目
同项目期刊论文
Analysis of the smallest detectable leakage flow rate of negative pressure wave based leak detection
Signed directed graph modeling and validation of industrial processes by process knowledge and proce
Cooperative Predictive Maintenance of Repairable Systems with Dependent Failure Modes and Resource C
System Reliability Prediction Model Based on Evidential Reasoning Algorithm with Nonlinear Optimizat
Wang. A new fault detection scheme for networked control systems subject to uncertain time varying d
期刊信息
位置：