Research on target data retrieval methods for ship communication association information
The ship communication system generates a large amount of communication related information,making it difficult to capture the key attributes of ship communication data in a massive amount of communication related information.Therefore,a target data retrieval method for ship communication related information is proposed.By calculating the feature quantity of global retrieval of ship communication correlation information,clustering and information fusion of ship net-work data are carried out,and a target data retrieval model is constructed by combining deep convolutional neural networks and hash learning algorithms to obtain preliminary retrieval results of the target data.Calculate the similarity of preliminary search results using Hamming distance,compare the Hamming distance between the target search data and the hash code of the preliminary search results,output the search result with the highest similarity to the target data related to ship communic-ation,and achieve target data retrieval.Experimental verification shows that the target data retrieval MAP value achieved by this method can reach over 98％,and the time consumption for data retrieval of different types of information can be guaran-teed to be below 8 ms.It can provide more convenient and reliable information services for relevant personnel,and provide strong support for ship management,maintenance,and combat decision-making.
ship communicationrelated informationtarget data retrievaldeep convolutional neural network
NETL
NSTL
万方数据
