A FPN Parameter Optimization Method Based on CDEDPSO

摘要

For the uncertain change characteristics of transition matrix parameters in complex FPN system, this paper presents a parameters optimization algorithm based on CDEDPSO. This article focuses on the weight, threshold and certainty of FPN optimized model and these parameters are analyzed, improved and simulated simultaneously. This method implements dynamic programming and self-learning of uncertain characterization parameters in FPN. Finally, in this paper, the method is applied to a FPN model and the feasibility and effectiveness of this method has been verified.