Soft sensor based on DBN-IPSO-SVR approach for rotor thermal deformation prediction of rotary air-preheater
Measurement(2020)
摘要
•The grey relational analysis method is employed to select significant variables.•Use the improved deep belief network to fully extract the feature information.•The method uses improved optimization algorithm to select the optimal parameters.•The novel soft sensor method named DBN-IPSO-SVR has high prediction accuracy.
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关键词
Rotor thermal deformation,Grey relational analysis,Deep belief network,Support vector regression,Improved particle swarm optimization
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