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An adaptive training algorithm for back-propagation neural networks

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4 Author(s)
Hsi-Chin Hsin ; Dept. of Electr. Eng., Pittsburgh Univ., PA, USA ; Li, C.-C. ; Mingui Sun ; Sclabassi, R.J.

A dynamic learning rate for back-propagation training of artificial neural networks is proposed as a weighted average of direction cosines of the incremental weight vectors of the current and previous steps. Experiments on training an EEG-based sleep state pattern recognition scheme have demonstrated its improved performance

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Systems, Man and Cybernetics, IEEE Transactions on  (Volume:25 ,  Issue: 3 )