The recursive least squares method (RLS) is derived for the learning of multilayer feedforward neural networks. Simulation results on the XOR, 4-2-4 encoder, and function approximation problems indicate a fast learning process in comparison to the classical and momentum backpropagation (BP) algorithms
Published in:
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
(Volume:45
,
Issue:
6
)
Date of Publication: Jun 1998