Using Simulated Annealing Embedded Modified Gauss-Newton Algorithm to identify parameters of nonlinear degradation model

High accuracy parameter identification is important to the life prediction by the degradation model. In this paper, the Simulated Annealing Embed Modified Gauss-Newton (SAEMGN) Algorithm is developed and has been applied in the degradation model parameters eliminating for Dielectric Resonator Oscill...

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Bibliographische Detailangaben

Hauptverfasser:	Yao Jinyong, Su Haibo, Li Xiaogang
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Annealing Convergence degradation Gauss-Newton life prediction nonlinear model Simulated Annealing
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