Researchers have proposed a two-state reconstruction method to address the sensitivity of ESNs to hyperparameters. This method involves training the system to redo the training on the same set of data, extracting missing temporal features from the existing data set instead of mining new ones. Additionally, the tanh activation function in ESNs can be replaced with an SNA activation function to ensure stable model operation, further reducing sensitivity to hyperparameters.