Forecasting model of holiday tourism requirement on the basis of RBF neural network

被引：0
|
作者：
Guo Wensheng [1 ]
Du Junping [2 ]
Wang Ruijie [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Informat Engn, Beijing 100083, Peoples R China
[2] Beijing Technol & Business Univ, Dept Comp Sci, Beijing 100037, Peoples R China
来源：
ISDA 2006: SIXTH INTERNATIONAL CONFERENCE ON INTELLIGENT SYSTEMS DESIGN AND APPLICATIONS, VOL 1 | 2006年
基金：
美国国家科学基金会; 北京市自然科学基金;
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：677 / 681
页数：5
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