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Received:June 15, 2015 Revised:September 06, 2015
Received:June 15, 2015 Revised:September 06, 2015
中文摘要: 针对BP网络收敛速度慢的问题,提出将改善学习速率和增加动量项结合起来的方法对BP网络进行改进,通过Java编程开发一个以改进BP网络为核心的热点主题挖掘原型系统.实验结果表明,该系统可以快速并准确地获取符合现实舆情的热点主题分类结果.研究成果可以帮助民众及时了解网络热点,帮助政府和企事业单位及时跟踪民意并做出相应决策.
Abstract:To solve the problem of slow convergence speed of BP network, a method is proposed to improve BP network by combining ameliorating learning rate and adding momentum factor. This paper developed a prototype system with improved BP network as the core of hot topics mining by Java programming language. Experimental results show that the system could acquire the classification results of hot topics according with the real public opinions quickly and exactly. The research result can help inform residents with instant hot spots as well as track public opinions so as to respond accordingly for governments and public enterprises.
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基金项目:"十三五"数字福建专项规划前期重点课题(822924)
Author Name | Affiliation |
LI Fa-Yun | School of Economics and Management, Fuzhou University, Fuzhou 350108, China |
CHEN Liang | School of Economics and Management, Fuzhou University, Fuzhou 350108, China |
Author Name | Affiliation |
LI Fa-Yun | School of Economics and Management, Fuzhou University, Fuzhou 350108, China |
CHEN Liang | School of Economics and Management, Fuzhou University, Fuzhou 350108, China |
引用文本:
李法运,陈亮.基于改进BP网络的网络论坛热点主题挖掘.计算机系统应用,2016,25(3):113-118
LI Fa-Yun,CHEN Liang.Mining for Hot Topics in Online Forum Based on Improved BP Network.COMPUTER SYSTEMS APPLICATIONS,2016,25(3):113-118
李法运,陈亮.基于改进BP网络的网络论坛热点主题挖掘.计算机系统应用,2016,25(3):113-118
LI Fa-Yun,CHEN Liang.Mining for Hot Topics in Online Forum Based on Improved BP Network.COMPUTER SYSTEMS APPLICATIONS,2016,25(3):113-118