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Automatically Estimating and Updating Input-Output Tables

机译:自动估计和更新输入输出表

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摘要

This paper presents an integrated intelligent system being capable of automatically estimating and updating large-size input-output tables. The system in this paper consists of a series of components with the purposes of data retrieval, data integration, data analysis, and quality checking. This unique system is able to interpret and follow users' XML-based query scripts, retrieve data from various sources and integrate them for the following data analysis components. The data analysis component is based on a unique modelling algorithm which constructs the matrix from the historical data and the spatial data simultaneously. This unique data analysis algorithm runs over the parallel computer to enable the system to estimate a large-size matrix. The result demonstrates the acceptable accuracy by comparing a part of the multipliers with the corresponding multipliers calculated by the matrix constructed by the surveys.
机译:本文提出了一种能够自动估计和更新大型输入输出表的集成智能系统。本文中的系统由一系列组件组成,目的是进行数据检索,数据集成,数据分析和质量检查。这个独特的系统能够解释和遵循用户基于XML的查询脚本,从各种来源检索数据,并将其集成到以下数据分析组件中。数据分析组件基于独特的建模算法,该算法同时根据历史数据和空间数据构造矩阵。这种独特的数据分析算法在并行计算机上运行,​​以使系统能够估计大型矩阵。通过将一部分乘数与由调查构成的矩阵计算出的相应乘数进行比较,结果证明了可接受的准确性。

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