船舶共享网络系统中信息自动化分类方法研究

Research on information automation classification method in ship sharing network system

传统的船舶共享网络系统在对信息数据计算分类过程中,由于系统采用的分类方法受到自身逻辑条件限制,出现信息数据分类特征计算冲突,无法准确对数据进行对应分类计算,导致大量共享网络信息拥堵。究其产生根源在于传统分类方法,针对此问题产生根源提出船舶共享网络系统中信息自动化分类方法。创建信息标签爬取字典,对共享信息数据词条进行特征识别预处理;接着,引入自动博弈分类算法,对特征与处理后的信息进行类别自动计算划分,完成数据的自动化分类处理。最后,通过仿真实验证明,提出的船舶共享网络系统中信息自动化分类方法,能够有效解决传统分类方法分类计算准确率低的问题。

In the process of calculating and classifying information data in traditional ship-sharing network system,due to the limitation of its own logical conditions,there are conflicts in calculating the classification characteristics of information data,and it is impossible to accurately classify and calculate the data,resulting in a large number of information congestion in the shared network.The origin of the problem lies in the traditional classification method.Aiming at the origin of the problem,the automatic classification method of information in ship sharing network system is proposed.Create the information label crawling dictionary,and preprocess the shared information data entries by feature recognition.Then,introduce the automatic game classification algorithm to automatically calculate and classify the features and processed information,and complete the automatic classification of data.Finally,the simulation results show that the proposed automatic classification method in ship sharing network system can effectively solve the problem of low classification accuracy of traditional classification methods.