基于云计算的舰船信息检索系统关键技术研究

Research on key technologies of ship information retrieval system based on cloud computing

为了提高舰船定位识别和信息融合能力,进行舰船信息检索优化设计,提出基于云计算的舰船信息检索系统设计方法,采用关联规则特征提取方法进行信息特征提取,采用高阶统计量分析方法进行舰船信息融合处理,结合模糊C均值聚类方法进行舰船信息的隶属特征分类处理,在云计算环境下实现舰船信息的分类调度和信息分区检索。仿真结果表明,采用该方法进行舰船信息检索的查准率和查全率较高,抗互信息干扰能力较强,具有较好的信息挖掘检索能力。

In order to improve the ship location recognition and information fusion ability of ship information retrieval optimization design, this paper proposes a system design method for ship information retrieval based on cloud computing, association rules based on feature extraction methods for information extraction, using higher order statistics analysis method of ship information fusion, combining the characteristics of membership classification fuzzy C mean clustering method of ship information processing in cloud computing environment to achieve ship information classification and information retrieval partition scheduling. The simulation results show that using the method of high precision and recall of ship information retrieval, anti interference ability of mutual information, information mining has better retrieval ability.