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- W1607754381 abstract "A modeling method of nonlinear dynamic systems based on relevance vector machine (RVM) is presented. The RVM has a high modeling accuracy as well as a simpler model structure with a fewer control parameter in training phase. Due to the low computational complexity in testing phase, the RVM is more suitable than SVM for the real-time applications. In addition, the kernel function in RVM must not necessarily fulfill Mercer's conditions. Several simulation examples have been used to evaluate the performance of RVM method. The results verify the effectiveness of the proposed method in the modeling of nonlinear dynamic systems." @default.
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- W1607754381 date "2010-07-29" @default.
- W1607754381 modified "2023-09-23" @default.
- W1607754381 title "Modeling of nonlinear systems using relevance vector machines" @default.
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