Supervised adaptive system learning based on minimumerrorentropy method is studied in this article. To measure the information contained in error samples, Renyi's entropy is estimated with Parzen windowing. Whil...
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ISBN:
(纸本)078037925X
Supervised adaptive system learning based on minimumerrorentropy method is studied in this article. To measure the information contained in error samples, Renyi's entropy is estimated with Parzen windowing. While MEE suffers from the high computational burden, so a segmentation method is brought forward to release it. MLP training base on MEE is derived, and MEE training for signal prediction is compared with MSE method. Simulation results verify the effectiveness of MEE method.
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