数据压缩与人工智能的数学研究

Mathematical Research on Data Compression and Artificial Intelligence

高速数据压缩系统是数学研究的目标之一。通过分析数据压缩拓扑结构,建立数据压缩的数学模型,解决将数据压缩转换为简单数学的问题,简化数据压缩的结构。它可以根据用户输入的数学参数创建拓扑图,然后在计算机上研究数据压缩的人工智能。其数据模型可以转换为动态演绎函数模型图,简化逻辑关系,使其更加实用可靠,节省物理存储空间,加快网络运行速度,它在动态数据库、地理信息系统、CAD-CAM等领域发挥重要作用。

High speed data compression system is one of the goals of mathematical research.By analyzing the topology of data compression,the mathematical model of data compression is established,the problem of transform-ing data compression into simple mathematics is solved,and the structure of data compression is simplified.It can create a topology map according to the mathematical parameters entered by the user,and then study the artificial in-telligence of data compression on the computer.Its data model can be transformed into dynamic deductive function model diagram,which simplifies the logical relationship,makes it more practical and reliable,saves physical storage space and speeds up the operation speed of the network.It plays an important role in dynamic database,geographic information system,CAD-CAM and other fields.