Title: Error prediction based on least squares support vector machines
Abstract: The state of data was monitored using the least squares support vector machines regression algorithm of the basic principles and complex multi-scale least squares support vector machines for a gyro aircraft platform, and the state of the trend of equipment forecasting and fault prediction were achieved. The experimental results show that the use of complex multi-scale least squares support vector machine model of condition monitoring is relatively effective.
Publication Year: 2009
Publication Date: 2009-01-01
Language: en
Type: article
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Cited By Count: 5
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