Based on Two Swarm Optimized Algorithm of Neural Network to Prediction the Switch's Traffic of Coal

Abstract

Coal accurately predict multi-channel network traffic monitoring network for transmission to enhance and improve the QoS is very important, the characteristics of coalmine monitoring network, the first neural network model was constructed, followed by the ant colony algorithm, on the number of iterations, time, number of parameters such as ants Set, then uses the number of Particle swarm optimization particles, particles and other parameters set the location to complete the layers of neural network weights optimization, simulation by examples of its accuracy.