基于RBF的民航客运量预测及MATLAB实现The Prediction of Civil Aviation Passenger Based on RBF and Realization by MATLAB

将RBF网络和MATLAB运用在民航客运量中具有可行性

利用MATLAB编程实现了对民航客运量的准确预测

以民航客运量的实际数据为例进行实验

） Abstract： In order to improve the accuracy of civil aviation passenger prediction, based on RBF neural network models, this paper uses MATLAB programming technology to realize the accuracy prediction of civil aviation passenger

This paper takes real date of civil aviation passenger as an example to verify this model and the results shows that, using the RBF and MATLBA in civil aviation passenger prediction is feasible

Keywords： RBF;Civil Aviation Passenger;MATLAB 下载PDF阅读器 PDF全文下载： 初稿 （ 286 ） 作者简介： 通信联系人： 【收录情况】 中国科技论文在线： 崔娜

 基于RBF的民航客运量预测及MATLAB实现[EB/OL]

北京：中国科技论文在线

选用RBF网络为模型

） 摘要： 为了提高民航客运量预测的准确性

关键词： RBF

实验结果表明

民航客运量

MATLAB C * （ School of Humanities and Economic Management, China University of Geosciences(Beijing)