Airport noise prediction ensemble model based on space fitting and neural network.
XU Tao1,2, SU Han1, YANG Guo-qing2
1. College of Computer Science and Technology, Civil Aviation University of China, Tianjin 300300, China;
2. Information Technology Research Base of Civil Aviation Administration of China, Tianjin 300300, China
This paper proposes an airport noise ensemble prediction model based on space fitting and neural network by introducing ensemble learning method. Space fitting and BP neural network is used respectively to create the base learner and a heterogeneous ensemble algorithm based on observational learning is used to integrate these base learners. The final ensemble model thus can improve prediction accuracy effectively by integrating multiple heterogeneous base prediction learners. The experimental results shows that the proposed heterogeneous ensemble algorithm based on observational learning is better than other heterogeneous ensemble algorithms on accuracy and tolerance for solving the airport noise prediction problem.
徐涛, 苏瀚, 杨国庆. 基于空间拟合和神经网络的机场噪声预测集成模型[J]. 中国环境科学, 2016, 36(4): 1250-1257.
XU Tao, SU Han, YANG Guo-qing. Airport noise prediction ensemble model based on space fitting and neural network.. CHINA ENVIRONMENTAL SCIENCECE, 2016, 36(4): 1250-1257.
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