多维数据表的动素分解,合成和向前推测

多维数据瑗态规律的研究焦点，集中在如何克服其数据规模庞大的困难，并同时保护数据系统一性质。对此，本文提出了多维数据分解与合成理论，在对动素间的协调性，动素合成方式以及动素分解完备性进行论述和理论证明的基础上，给出了多维动态数据表向前推测的工作步骤。该方法将手推测数据系统主要特征的变化规律，来实现对多维数据表的整体预测，这将使多维数气压 表推测过程更为简捷，直观和有效。

DECOMPOSITION,COMPOSITION THE MAIN ACTIVE ELEMENTS AND FORCASTE OF MULTI-DIMENTIONAL DATA TABLE

The dynamic behaviors research of multi-dimentional data table is concentrated in overcoming the difficulties causing by the huge scale of data processing,and protecting its global features at the same time. In this paper we present a theoretical system for decompositing and compositing the main active elements within the data table. By this way one can anticipate the global data table by forcasting its main active elements. The performance of this process will be more rapid and effective.