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
梁燕红
摘要(Abstract)：
针对传统BP神经网络的关联挖掘模型中关联挖掘方法和用户交互矛盾问题,提出一种基于改进BP神经网络的关联挖掘模型设计。采用改进的BP神经网络算法进行BP神经网络计算,解决了二次函数的非线性优化问题。运用优化的算法保证了适应度函数的选择能力,避免了阈值以及权值对BP神经网络的误差倒数的影响。为了验证所设计的基于改进BP神经网络的关联挖掘模型的有效性,设计了对比仿真实验,实验结果表明,提出的基于改进BP神经网络的关联挖掘模型设计能够有效地解决关联挖掘方法和用户交互矛盾问题。
关键词(KeyWords)： 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
基金项目(Foundation): 国家自然科学基金项目(61364020);; 广西壮族自治区教育厅科研项目(2013LX111)~~
作者(Author): 梁燕红
DOI: 10.16652/j.issn.1004-373x.2018.02.041
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