期刊名称：ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
印刷版ISSN：2194-9042
电子版ISSN：2194-9050
出版年度：2005
卷号：XXXVI-2/W25
出版社：Copernicus Publications
摘要：This paper puts forward a method that combines the learning algorithm of BP neural network with genetic algorithm to train BP network and optimize the weight values of the network in a global scale. This method is featured as global optimization, high accuracy and fast convergence. The data-mining model based on genetic neural network has been widely applied to the procedure of data mining on case information in the command centre of police office. It achieves an excellent effect for assisting people to solve cases and make good decisions. In this paper, the principles and methods of this data-mining model are described in details. A real case of its application is also presented. From this case we can draw a conclusion that the data-mining model we have chosen is scientific, efficient and practicable
关键词：Data Mining; Data Warehouse; BP Neural Network; Genetic Algorithm; Data Cleaning; Case Analysis
