Prediction Model in Statistics Data Based on Improved Cluster and Neural Network

摘要：

This paper presents a new prediction model, which combines the clustering with neural network. The existed clustering algorithm has the shortcoming that can not determine the clustering number K, so this paper combines it with the concept of rough set to improve, and tests it on the IRIS data; Then this paper presents the new forecasting model which combines improved clustering algorithm and neural networks to improve the prediction accuracy more effectively, and tests it in statistics data.

关键词： Cluster K-means Rough set Prediction Neural network

作者: Wang Zuo Sun Wenwen Li Jingyong Wang Zhe

作者单位: College of Computer Science and Technology, Jilin University, Changchun 130012, China

会议类型: 国际会议

会议名称: 2012 International Conference on Intelligent System Design and Engineering Applications(2012年智能系统设计与工程应用国际会议 ISDEA 2012)

会议地点: 三亚

会议语种:英文

页码: 460-463

在线出版日期: 2012-01-06（万方平台首次上网日期，不代表论文的发表时间）