摘要
针对当前数据挖掘系统在执行激光传感云数据聚类分析任务时存在平均分类准确率低、平均错分率较高、系统响应延迟时间较长的问题,提出并设计了基于人工蜂群优化算法的激光传感云数据挖掘系统。根据人们对激光传感云数据挖掘系统的需求分析,将系统功能分为用户登录与鉴权功能、激光传感云数据预处理功能、激光传感云数据挖掘功能、挖掘结果表达功能五个部分。采用包括用户界面层、业务处理层、数据层的三层B/S模式构建了激光传感云数据挖掘系统结构体系,分析了系统各模块的具体功能;给出了采用人工蜂群算法进行激光传感云数据挖掘的基本操作步骤,针对其局部搜索能力差、容易陷入局部最优解的问题,采用历史最优解平均值引导种群进化方向优化了搜索策略,实现了激光传感云数据挖掘。实验结果表明,设计系统能够有效提高平均分类准确率、降低平均错分率,同时缩短响应延迟时间,应用性更高。
Aiming at the problem that the current data mining system performs the laser sensing cloud data clustering analysis task,the average classification accuracy is low,the average error rate is high,and the system response delay time is long.The artificial bee colony optimization algorithm is proposed and designed.Laser sensing cloud data mining system.According to people’s demand analysis of laser sensor cloud data mining system,the system functions are divided into five parts:user login and authentication function,laser sensor cloud data preprocessing function,laser sensor cloud data mining function and mining result expression function..The laser sensing cloud data mining system structure system is constructed by using the three-layer B/S mode including user interface layer,business processing layer and data layer.The specific functions of each module of the system are analyzed.The artificial bee colony algorithm is used to laser.The basic operation steps of sensor cloud data mining are based on the problem that the local search ability is poor and easy to fall into the local optimal solution.The historical optimal solution is used to guide the evolution direction of the population to optimize the search strategy and realize the laser sensor cloud data mining..The experimental results show that the design system can effectively improve the average classification accuracy,reduce the average error rate,and shorten the response delay time,and the applicability is higher.
作者
梁显丽
杨海波
LIANG Xianli;YANG Haibo(Inner Mongolia Agricultural University,Baotou 014109,China)
出处
《激光杂志》
北大核心
2019年第8期94-97,共4页
Laser Journal
基金
内蒙古自治区教育科学研究(No.NGJGH2017210)
关键词
人工蜂群算法
优化
激光传感云数据
挖掘
无搜索策略
artificial bee colony algorithm
optimization
laser sensing cloud data
mining
system design
search strategy
