摘要
随着经济的发展,无线电波信号的预测问题成为无线通信领域研究的关键课题之一。考虑到径向基神经网络模型的广泛应用,研究一种粒子群算法与径向基神经网络相结合的无线电波信号预测模型。实验结果表明,这两种人工智能算法的结合模型比RBF模型预测精度更高,运行更稳定。
With the development of economy, the forecast of the radio wave signal will become one of the key topics of research on the field of wireless communications. Taking into account the radial machine widely used neural network model, studies a particle swarm optimization and radial basis function neural network combined forecasting model of the radio wave signal. The experimental resuhs show that the combination of both artificial intelligence algorithms model than the the RBF model prediction accuracy is higher and more stable operation.
出处
《现代计算机》
2013年第3期15-17,共3页
Modern Computer
关键词
无线电波
径向基神经网络
粒子群算法
Radio Waves
Radial Basis Function Neural Network
Particle Swarm Algorithm
