Enhancing Financial Risk Prediction Through Echo State Networks and Differential Evolutionary Algorithms in the Digital Era

This study contributes valuable insights for the future of intelligent finance by demonstrating the superiority of the MPDE-ESN model in risk recognition, as well as introducing an optimization methodology for multiple swarm differential planning algorithms, optimizing ESN networks for risk identification within financial investment data.