Adam is widely used in deep learning as an adaptive optimization algorithm, but it struggles with convergence unless the hyperparameter β2 is adjusted based on the specific problem. Attempts to fix ...

This study introduced an efficient method for solving non-linear equations. Our approach enhances the traditional spectral conjugate gradient parameter, resulting in significant improvements in the ...

Abstract: Due to the non-convex characteristics of the alternating current optimal power flow (ACOPF) problem, most existing methods are restricted to obtaining Karush-Kuhn-Tucker (KKT) solutions.

Abstract: BP neural network is using gradient descent method to continuously adjust the weights and thresholds between the input layer and the hidden layer, so that ...