Modelling LCR-Circuit into Integro-Differential Equation Using Variational Iteration Method and GRU-Based Recurrent Neural Network

This investigation incorporates digital numerical methods with neural networks for resolving an LCR circuit that shades the integro-differential equation. The variational iteration technique is needed to tackle numerical troubles. The One-Hidden Layer Gated Recurrent Unit (GRU) in a Recurrent Neural Network (RNN) is utilized to model and predict dynamic systems. This eidetic procedure is used as an example in the methodology of imaging dynamic systems and the development of the hybrid method. The advantage of this new tool is that it can be utilized in various contexts, especially in those areas where complex and continuous processes are frequent.