Abstract: Training machine learning models often involves solving high-dimensional stochastic optimization problems, where stochastic gradient-based algorithms are hindered by slow convergence.
A New Variable Forgetting-Factor and Variable Step-Size FxLMS Algorithm for Active Vibration Control
Abstract: The step-size in the Filtered-x Least Mean Square (FxLMS) algorithm significantly impacts the algorithm's convergence speed and steady-state error. To ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results