集成数据环境下装备IETM数据查询研究

Research on Data Retrieval of IETM in Integration Data Environment

摘要:

针对集成数据环境下装备IETM内部所包含数据无法完全满足用户需求的问题,以装备IETM内部所包含的数据模块信息为样本数据,结合扩展查询以及Hopfield神经网络等相关技术,通过对查询扩展词与查询词之间的领域权值、关联权值以及距离权值的计算,科学合理的实现对查询扩展词的选取,并提出了基于Hopfield神经网络的装备IETM数据查询方法；在实验环境下,采用某型坦克的IETM系统对所提出方法进行验证；结果表明,该方法在数据查询率与查准率等方面都要明显高于传统的数据查询方法。

Abstract:

For the problem that IETM data can’t fully meet user needs in the integration data environment, it makes the IETM data module information as the sample data, combines with the query term expansion technology and Hopfield neural networks technology, calculates the field weight associated weight and distance weight between the inquiring words and election and expanding words, realizes the selection of query expansion terms scientifically and rationally, and presents a data retrieval method of equipment IETM based on the Hopfield neural network. In the experimental environment, it uses a certain type of tank IETM system to verify the proposed method; the results shows that the data query rate and precision rate of this method significantly higher than the traditional method.