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- W2381792912 abstract "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." @default.
- W2381792912 created "2016-06-24" @default.
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- W2381792912 date "2008-01-01" @default.
- W2381792912 modified "2023-09-23" @default.
- W2381792912 title "Inertia device fault prediction based on wavelet LS-SVR optimized by GA" @default.
- W2381792912 hasPublicationYear "2008" @default.
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