董嘉文, 钱积新, 孙优贤. Study on the Recursive Identification Algorithm for Dynamic systems using Multi-Layered Network Model[J]. Acta Electronica Sinica, 1995, (4).
董嘉文, 钱积新, 孙优贤. Study on the Recursive Identification Algorithm for Dynamic systems using Multi-Layered Network Model[J]. Acta Electronica Sinica, 1995, (4).DOI：
Based on seeing the process of muiti-layered neural network learning to get optimal weight set as the self-organizing and self-learning parameter identification of non-linear dynamic system model
the GBP adaptive recursive identification algorithm and medel test methed for time-invariant or time-variant dynamic systems are intreduced in this paper. GBP recursive algorithm includes dual-direction identification processes.One is at the sampling interval
the other is at the time series.Also it is extension of the existing algorithm for multi-layered NN. Simulation study shows its efficlency.
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