辽宁工程技术大学学报（自然科学版）Issue(2)：244-247,4.
改进的模糊BP神经网络及在犯罪预测中的应用
Improved fuzzy BP neural network and its application in crime prediction
摘要
Abstract
In order to improve the accuracy of crime prediction, enhance the technology of crime prevention, and safeguard the public security, this study uses a new algorithm of fuzzy BP neural network to analyze the crime data and build a knowledge base for predicting the number of crimes. The experimental results show that the prediction is accurate. Also, the number of hidden layers and the number of nodes is very accurately obtained using clustering algorithm. This study enhances the wide application of the knowledge base. The prediction method provides a new alternative for crime prediction.关键词
犯罪/算法/知识库/模糊/BP神经网络/聚类/预测/犯罪数量Key words
crime/ algorithm/ knowledge base/ fuzzy/ BP neural network/ clustering/ forecast/ crime number分类
社会科学引用本文复制引用
于红志,刘凤鑫,邹开其..改进的模糊BP神经网络及在犯罪预测中的应用[J].辽宁工程技术大学学报（自然科学版）,2012,(2):244-247,4.基金项目
国家自然科学基金资助项目(60873042) （60873042）
