Abstract
AbstractWe have proposed the expanded neural network which the noise model has incorporated into the output layer of the neural network. The expanded neural network is able to apply to the output error model for the identification of a nonlinear system. In this paper, we consider whether the expanded neural network is able to apply effectively to estimate the nonlinear system that has a system noise. It is shown that the estimated accuracy is improved with the included noise model also in this case from the simulation.KeywordsNonlinear SystemNoise ModelSystem NoiseObservation NoiseBilinear SystemThese keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.
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