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基于改进BP网络的当前非法出入境活动发展趋势预测
引用本文:高慧开,王晨,张靖,贾林川. 基于改进BP网络的当前非法出入境活动发展趋势预测[J]. 计算机应用, 2008, 28(Z1)
作者姓名:高慧开  王晨  张靖  贾林川
作者单位:中国人民武装警察部队学院,边防系,河北,廊坊,065000
摘    要:提出了基于BP神经网络的当前非法出入境活动发展趋势预测方法,以某年相关原始数据为依据,通过Matlab编程对当前非法出入境活动的发展趋势进行了预测和分析,为有关部门的正确决策与规划提供一定的指导和依据.

关 键 词:趋势  预测  BP神经网络

Prediction of smuggling trends based on improved BP neural network
GAO Hui-kai,WANG Chen,ZHANG Jing,JIA Lin-chuan. Prediction of smuggling trends based on improved BP neural network[J]. Journal of Computer Applications, 2008, 28(Z1)
Authors:GAO Hui-kai  WANG Chen  ZHANG Jing  JIA Lin-chuan
Affiliation:GAO Hui-kai,WANG Chen,ZHANG Jing,JIA Lin-chuan (Department of Border-control , Immigration,Chinese People's Armed Police Forces Academy,Langfang Hebei 065000,China)
Abstract:The current prediction of smuggling is done by means of quantitative analysis method through calculating and predicting future trends,levels and degree of some smuggling phenomena,based on collected records arranged according to time sequence.This paper firstly put forward a method on the basis of BP neural network to predict the trends of smuggling,which revolved around the statistics one year and employed Matlab program to provide certain guidance and foundation for relative departments' decision making a...
Keywords:trends  prediction  BP neural network  
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