A Novel Recurrent Neural Network Model for the Identification of Time-Delayed Nonlinear System
Prashasti Srivastava, Rajesh Kumar · 2022 IEEE Delhi Section Conference (DELCON) · 2022
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.