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.
['Yen-Wei Chen', 'Xiang-Yan Zeng', 'Zensho Nakao']
Blind separation based on an evolutionary neural network