Research of nonlinear blind source separation algorithm based on quantum evolutionary neural network
Junan Yang, Hui Peng, Zhenquan Zhuang · 2004
This paper analyzes the neural network model and algorithm of nonlinear blind source separation (NBSS) systematically, discusses the existence and uniqueness of solution of NBSS, puts forward a novel NBSS algorithm based on mutual cumulates, and uses multi-universe parallel quantum genetic algorithm (MPQGA) to acquire its optimum solution. The simulation result demonstrates the effectiveness of the algorithm.