微型电脑应用

为提高图书馆文献检索的Kappa系数，缩短检索时间，设计一个基于随机森林的图书馆文献检索机器人自动检索系统，包含元搜索引擎整体结构、机器人底盘行走系统的主体结构、无线射频识别（RFID）技术使用的逻辑结构。引入随机森林算法，构建基于随机森林的文献分类模型，分类提取与用户匹配的网络文献资源后发送至交互界面反馈给用户，并且结合RFID技术，定位纸质文献书籍位置，实现馆内机器人取书。实验结果表明，本文系统的文献自动检索结果准确，性能较好，且文献检索机器人的取书效果较好，可满足显示图书馆的取书需求。

To improve the Kappa coefficient of library document retrieval and shorten the retrieval time,an automatic retrieval system for library document retrieval robots based on random forest is designed,which includes the overall structure of the meta-search engine,the main structure of the robot chassis walking system,and the logical structure of the use of radio frequency identification(RFID)technology.By introducing the random forest algorithm,a document classification model based on random forest is constructed.After classifying and extracting the network document resources that match the users,they are sent to the interactive interface for feedback to the users.Moreover,combined with RFID technology,the location of paper document books is located,enabling robots to pick up books within the library.The experimental results show that the automatic document retrieval results of the proposed system are accurate,the performance is good,and the effect of picking up books of the document retrieval robot is good,which can meet the needs of picking up books of the display library.