A Cloud- Particle-Swarm-Optimization- Backpropagation-Neural-Network- Based Performance Evaluation Method for Cooperative Navigation Systems

This paper addresses the problem of performance evaluation of cooperative navigation system. Based on the eval-uation needs, a novel evaluation index system is established in this paper. In order to solve the problem of human subjectivity in the evaluation process, this paper proposes a Cloud-Particle-Swarm -Optimization- Backpropagation - N eural- Network evaluation model. The model employs cloud computing to process un-certainty information leveraging Particle-Swarm-Optimization-Backpropagation-Neural-Network evaluation method. Simulation results verify the feasibility and effectiveness of the proposed model.