Blind separation based on an evolutionary neural network
Y.-W. Chen, Xiangyan Zeng, Zensho Nakao · 2002
We propose an evolutionary neural network for blind source separation. In the proposed method, the separating matrix is used as connection weights of the network, which are updated by a genetic algorithm. A higher-order statistics of kurtosis, which is a simple and original criterion for independence, is used as a fitness function. The applicability of the proposed method for blind source separation is demonstrated by the simulation results.