福州大学学报（自然科学版）2011，Vol.39Issue(6)：824-829,856,7.DOI:35-1117/N.20111220.0903.003
一种基于PSO-FCM的网络虚拟环境信息推荐算法
An algorithm of information recommendation based on PSO -FCM in network virtual environments
摘要
Abstract
A new information recommendation algorithm based on PSO - FCM users clustering would be proposed in this paper. The PSO - FCM, I. E. Fuzzy C - Means (FCM) clustering based on particle swarm optimization ( PSO) , combines the respective advantages of PSO and FCM, which could prevent from those defects, for FCM to be susceptible to initial value and noisy data, and PSO to be easily falling into local optimum and so on. In order to improve clustering effect, we design the particle fitness function based on dual - objectives (intra - class distance and inter - class distance) in PSO. Finally , the standard data set and simulation data set are applied to test the personalized information recommendation algorithm based on PSO - FCM users clustering. The experimental result shows that this algoridim was of good performances.关键词
网络虚拟环境/信息推荐/用户聚类/PSO/FCMKey words
network virtual environments/ information recommendation/ user clustering/ PSO/ FCM分类
信息技术与安全科学引用本文复制引用
陈明志,陈健,许春耀,陈为旭,林柏钢..一种基于PSO-FCM的网络虚拟环境信息推荐算法[J].福州大学学报（自然科学版）,2011,39(6):824-829,856,7.基金项目
福建省自然科学基金资助项目(2011J01346) （2011J01346）
福州大学科研基金资助项目(XRC-1039) （XRC-1039）
