Network flow prediction method of wireless sensor based on genetic-RBF neural network

Network flow prediction method of wireless sensor based on genetic-RBF neural network is proposed in this paper. Here, RBF neural network with 6 input nodes, 8 hidden nodes and 1 output node is used. The training parameters of RBF neural network have a certain influence on the prediction ability of RBF neural network, we should select an optimization method to select the appropriate parameter of RBF neural network. Genetic algorithm is a robust and efficient optimization technique. As genetic algorithm has the higher global optimal ability than the traditional optimization methods, genetic algorithm is applied to select the appropriate parameter of RBF neural network. The experimental results show that network flow prediction results of wireless sensor are better than RBF neural network and BP neural network. Copyright © 2013 Binary Information Press.