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 five prominent neural or semi-neural ICA algorithms. The comparison reveals some interesting differences between the algorithms.
原文链接
分享
引用
