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在数据库中一种基于QPSO与BP神经网络的重复记录检测算法
引用本文:徐艳玲.在数据库中一种基于QPSO与BP神经网络的重复记录检测算法[J].网络安全技术与应用,2014(11):67-68.
作者姓名:徐艳玲
作者单位:郧阳师范高等专学校,湖北442000
摘    要:在检测数据库重复记录的研究中,基于BP神经网络的检测(Duplicate Record Detection based on BP Neural Network,简称DRDBPNN)算法的性能与初始的参数设置有很大的关系,从而造成其性能不稳定的缺陷,因此本文提出了一种基于QPSO与BP神经网络的重复记录检测算法(Duplicate Record Detection based on Quantum Particle Swarm Optimization and BP Neural Network,简称DRDQPSQBPNN)。仿真表明,该算法能够有效地提升重复记录的检测效率。

关 键 词:量子粒子群算法  神经网络  重复记录  数据库

In a kind of database duplicate records detection based on QPSO with BP neural network algorithm
Xu Yanling.In a kind of database duplicate records detection based on QPSO with BP neural network algorithm[J].Net Security Technologies and Application,2014(11):67-68.
Authors:Xu Yanling
Abstract:in the test database Duplicate records in the study,based on the BP Neural Network Detection(Duplicate Record Detection-based on the BP Neural Network,referred to as DRDBPNN)performance of the algorithm and the initial parameters set has a lot to do,resulting in the defect of its performance is not stable,so this paper proposes a Duplicate records Detection based on QPSO with BP Neural Network algorithm(Duplicate Record Detection-based on Quantum Particle Swarm Optimization and BP Neural Network,hereinafter referred to as DRDQPSQBPNN).The simulation shows that the algorithm can effectively improve detection efficiency of duplicate records.
Keywords:quantum particle swarm optimization(pso)  Neural network  Duplicate records  The database
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