基于RBF神经网络的度假旅游需求预测模型

Guo Wensheng, Du Junping, Wan Ruijie
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引用次数: 3

摘要

为提高假日旅游智能化管理水平,为假日旅游健康、有序、安全发展贡献力量,建立了基于RBF神经网络的旅游需求预测模型,实现了旅游需求分类、旅游状况分析与预测,实现了假日旅游智能化管理。利用该方法生成RBF网络进行函数逼近。引入随机聚类和线性规划来设计和训练这种“混合型”RBF网络
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Forecasting Model of Holiday Tourism Requirement on the Basis of RBF Neural Network
For improving intellectualized management level of holiday tourism and making a contribution to the healthy, orderly and safely development of holiday tourism, we built the tourism requirement forecasting model on the basis of RBF neural network, realized the classification, analysed and forecasted the tourism status and realized the intellectualized management of holiday tourism. It was used to generate RBF net to perform function approximation. Random cluster and linear program are brought in to design and train this "mixed" RBF net
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