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A fast training algorithm for neural networks

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2 Author(s)
Bilski, J. ; Dept. of Comput. Eng., Tech. Univ. of Czestochowa, Poland ; Rutkowski, L.

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

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Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on  (Volume:45 ,  Issue: 6 )