Convergence of On-Line Gradient Methods for Two-Layer Feedforward Neural Networks
Zhang Hong-wei · Journal of Mathematical Research and Exposition · 2001
A discussion is given on the convergence of the on-line gradient methods for two-layer feedforward neural networks in general cases. The theories are applied to some usual activation functions and energy functions.