GENETIC NEURAL NETWORK BASED DATA MINING AND APPLICATION IN CASE ANALYSIS OF POLICE OFFICE

LIU Han-li, LI Lin, ZHU Hai-hong
School of Resource and Environment Science, Wuhan University, 129 Luoyu Road, Wuhan, P.R.China, 430079
Tel: 86-27-87882209 E-mail: liuhl000@sohu.com; lilin@telecarto.com

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.

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