摘要
为了改善随着信息量增加信息检索效率急剧降低的情况,将改进的粒子群优化算法引入信息检索中,通过粒子群算法迭代检索,使关键检索字在大量信息点上模糊匹配,在迭代终止时检索出匹配度最高的信息项。对100万到2亿条信息量的信息进行检索实验,检索时间1.7 s左右,匹配度高于97%。该方法检索速度快、稳定、匹配度高且鲁棒性强。
As the amount of information increases, the efficiency of information retrieval was drastically reduced. The information retrieval based on the improved PSO was discussed on this paper. This PSO Iterative search, makes Key search word fuzzy matching on a large number of information points, finds the best item of information at the item end. From 1 million to 200 million items information test, retrieval time is around 1.7 seconds, matching degree is higher than 97%. This method shows that the improved PSO has the fast, stable, high degree of matching and the robustness.
出处
《西南科技大学学报》
CAS
2013年第4期53-56,101,共5页
Journal of Southwest University of Science and Technology
基金
陕西省软科学基金项目(2012KRM58)
陕西省教育厅自然科学基金项目(12JK0744
11JK0188)
