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- W4224251279 abstract "This paper presents a locally recurrent neural network with input feed through (LRNNIFT) for the identification of nonlinear time-delayed system. The proposed network model parameters are tuned using a Back-propagation (BP) algorithm. The performance of the proposed model is compared with the well known recurrent Elman neural network (ENN) and a single layer feed-forward neural network (FFNN). The simulation results showed that the proposed model has shown better accuracy as compared to the other two models." @default.
- W4224251279 created "2022-04-26" @default.
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- W4224251279 date "2022-02-11" @default.
- W4224251279 modified "2023-09-23" @default.
- W4224251279 title "A Novel Recurrent Neural Network Model for the Identification of Time-Delayed Nonlinear System" @default.
- W4224251279 doi "https://doi.org/10.1109/delcon54057.2022.9753622" @default.
- W4224251279 hasPublicationYear "2022" @default.
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