Identificação Neural com Uso do Sinal de Erro de Predição

This work shows a neural net model with dynamic neurons where the dynamics is represented by state space approach. This neural model is utilized to identify non-linear dynamic systems with non-linear measure noise. In the identification is used the prediction error how a new neural net input.