基于奇异值分解和神经网络的个性化信息模式识别

随着信息资源的持续增长，信息获取系统为特定用户提供特定信息服务的需求越来越重要。该文提出了基于奇异值分解和神经网络的个性化信息模式识别的方法，可以方便地获取用户信息需求的特征，并且利用这些特征信息完成个性化的信息识别和匹配，即实现个性化信息的模式识别，进而实现信息的个性化获取和管理。该文中的算法实现简单，可以方便地应用到目前的一些信息管理、服务系统中。

Pattern Recognition of Personal Information Based on Singular Value Decomposition and Neural Network

The volume of information and the number of information sources are continuously increasing, so the need for information management system and information retrieval system that provide relevant information for specific person is emerging.This paper puts forward SVD algorithm combined with artificial neural netwok to realize personal information recognition. It can make use of the user personal information to accomplish the documents recognizing, matching and to realize personal information retrieval and management. The algorithm is easy to realize, and can be used in many information management or service systems.