基于GA-RBF模型的无线电波信号预测研究

Radio Wave Signals Predict Based on GA-RBF Model

随着通信行业的发展,无线电波信号的预测问题成为科学研究的重要课题。因此研究了一种基于遗传算法优化径向基神经网络参数的无线电波信号预测模型,通过实验表明,这种经过遗传算法优化的模型比单纯的RBF网络模型预测精度更高,运行更稳定。

As the communications industry, the radio wave signal prediction problems become an important research topic. So researching a genetic algorithm-based RBF neural network parameters of the radio wave prediction model, through experimental results show that through the genetic algorithm model than the simple RBF network models to predict more accurate, more stable operation.