Methodology for Entities Matching Based on Neural Network
一种基于BP神经网络的实体匹配方法*

A methodology for entities matching algorithm based on two-phase-check BP neural network is proposed. Will study the thought will introduce in the field of heterogeneous database entities matching, avoided computing the attributes weights. The experimental result show, the algorithm is very effective, and improve the precision ratio, has the stronger environment dynamic compatibility, can realize the entities matching automation.