Abstract：Through analyzing the influence factors of the noise event for single flight, the regression prediction model based on BP neural network was established. Then, the ensemble prediction model based on neural network for single noise event was constructed by selecting neural networks with the aid of adaptive genetic algorithm. Simultaneously, in order to maintain the diversity of neural networks, different number of hidden nodes and Bagging algorithm were used. Experimental results show that the proposed ensemble prediction model based on neural network was better than the model of single BP neural network in terms of generalization ability and higher stability. The average accuracy rate of the proposed model was 96.9% on the test set within ±3dB error and was 6.8% higher than that of the single network model.
徐涛, 燕宪金, 杨国庆. 基于神经网络集成的单个飞行事件噪声预测模型[J]. 中国环境科学, 2014, 34(2): 539-544.
XU Tao, YAN Xian-Jin, YANG Guo-Qing. Prediction model of noise event for single flight based on neural network ensemble. CHINA ENVIRONMENTAL SCIENCECE, 2014, 34(2): 539-544.
