Title:
Inertiadevicefaultpredictionbasedonwavelet
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- AI-NN-PR
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- Update:
- 2012-11-26
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Description: 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．
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- [FOG_ARMA21_Model_KF] - Based on the ARMA (2) model of the fiber
- [fcwt] - I have written forgotten fast algorithm
- [BGAandDWT] - Based on genetic algorithms and image de
- [dhan20correct27] - series compensator facts devicesd
- [mat] - Universal non-linear regression support
File list (Check if you may need any files):
基于GA优化小波LSSVR的惯性器件故障预报.pdf
