Convergence of Online Learning Algorithms in Neural Networks
Danilo P. Mandic, Jonathon A. Chambers · 2001
This chapter contains sections titled: Perspective Introduction Overview Convergence Analysis of Online Gradient Descent Algorithms for Recurrent Neural Adaptive Filters Mean-Squared and Steady-State Mean-Squared Error Convergence Summary