narx neural network optimized with besian regularization and levenberg marquadt algorithm

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Welcome to our exploration of NARX neural networks. NARX stands for Nonlinear Autoregressive with Exogenous inputs. This is a specialized recurrent neural network architecture designed specifically for time series prediction tasks. The key feature of NARX networks is their ability to use both past outputs and external input values to predict future values, making them particularly effective for complex temporal modeling.