An Experimental Comparison of Neural
نویسندگان
چکیده
Several neural algorithms for Independent Component Analysis (ICA) have been introduced lately, but their computational properties have not yet been systematically studied. In this paper, we compare the accuracy , convergence speed, computational load, and other properties of ve prominent neural or semi-neural ICA algorithms. The comparison reveals some interesting diierences between the algorithms.
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تاریخ انتشار 1998