现代电子技术2018，Vol.41Issue(2)：163-165,3.DOI:10.16652/j.issn.1004-373x.2018.02.041
基于改进BP神经网络的关联挖掘模型设计
Design of association mining model based on improved BP neural network
摘要
Abstract
In allusion to the contradiction between association mining method and user interaction in the traditional associa-tion mining model based on BP neural network,the design of association mining model based on the improved BP neural net-work is proposed. The improved BP neural network algorithm is used for BP neural network computation to resolve the nonlinear optimization problem of quadratic function. The optimized algorithm guarantees the selection capability of the fitness function and avoids the effects of the threshold value and the weighted value on the error reciprocal of BP neural network. To verify the validation the designed association mining model based on the improved BP neural network,the contrast simulation experiment was carried out. The experimental results show that the designed association mining model based on the improved BP neural net-work can effectively resolve the contradiction between the association mining method and user interaction.关键词
BP神经网络/关联挖掘模型/算法改进/二次函数/选择能力/用户交互Key words
BP neural network/association mining model/algorithm improvement/quadratic function/selection capabili-ty/user interaction分类
信息技术与安全科学引用本文复制引用
梁燕红..基于改进BP神经网络的关联挖掘模型设计[J].现代电子技术,2018,41(2):163-165,3.基金项目
国家自然科学基金项目(61364020) （61364020）
广西壮族自治区教育厅科研项目(2013LX111)Project Supported by National Natural Science Foundation(61364020),Guangxi Zhuang Autonomous Region Education Department(2013LX111) （2013LX111）
