首页 | 官方网站   微博 | 高级检索  
     

Building a Tax Predictive Model Based on the Cloud Neural Network
作者姓名:田永青  李志  朱仲英
作者单位:Tian Yongqing,Li Zhi & Zhu Zhongying Department of Automation,Shanghai Jiaotong University,Shanghai 200030,P. R. China
摘    要:Tax is very important to the whole country, so a scientific tax predictive model is needed. This paper introduces the theory of the cloud model. On this basis, it presents a cloud neural network, and analyzes the main factors which influence the tax revenue. Then if proposes a tax predictive model based on the cloud neural network. The model combines the strongpoints of the cloud model and the neural network. The experiment and simulation results show the ef-


Building a Tax Predictive Model Based on the Cloud Neural Network
Tian Yongqing,Li Zhi & Zhu Zhongying.Building a Tax Predictive Model Based on the Cloud Neural Network[J].Journal of Systems Engineering and Electronics,2003,14(3).
Authors:Tian Yongqing  Li Zhi & Zhu Zhongying
Affiliation:Department of Automation, Shanghai Jiaotong University, Shanghai 200030, P. R. China
Abstract:Tax is very important to the whole country, so a scientific tax predictive model is needed. This paper introduces the theory of the cloud model. On this basis, it presents a cloud neural network, and analyzes the main factors which influence the tax revenue. Then if proposes a tax predictive model based on the cloud neural network. The model combines the strongpoints of the cloud model and the neural network. The experiment and simulation results show the effectiveness of the algorithm in this paper.
Keywords:Cloud model  Simplified TS cloud inference  Neural network  Tax predictive model  
本文献已被 CNKI 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司    京ICP备09084417号-23

京公网安备 11010802026262号