Applying Particle Swarm Optimization to Analyze the behavior of Library Users

• Main Authors: Shao-Yu Huang, 黃劭瑜
• Other Authors: Chu-Chai Chan
• Format: Others
• Language: zh-TW
• Published: 2008
• Online Access: http://ndltd.ncl.edu.tw/handle/54040507823832384806

碩士 === 朝陽科技大學 === 工業工程與管理系碩士班 === 96 === Because of the quick change of information science and technology to change, Internet provide too large information in the daily life, most of people fall among a problem that they look for select and search the needed information on the Internet. So function of library already no longer so important. In recent years, many libraries also hope to provide people with more convenient and quick services, to make a traditional book transformed into an e-book for storage, and then to make use of the Internet convenient and circulates, post up characters and media on Internet for people searching. This research according to read data of an University library, and to offer advice for readers to make shortens time in libraries; in this study: first, use Particle Swarm Optimization (PSO) to analyze department class and read record, second, to swarm off aimed at reader. Finally, the study finds out the relations, and then use the rules to provide correction suggest for reader, increased the borrow book of desire and efficiency.