DocumentCode
2664662
Title
Application of discrete orthogonal combinatorial prediction in crime sites
Author
Jianzhong, Hao ; Yufa, Teng ; Mingxue, Zhang ; Gang, Liu ; Wei, Gao
Author_Institution
Xuzhou Air Force Acad., Xuzhou, China
fYear
2012
fDate
23-25 May 2012
Firstpage
4268
Lastpage
4273
Abstract
We establish two mathematical models by using Stochastic Partial Elasticity Theory and Artificial Neural Network respectively to obtain two sets of predicted values of of the next crime site. We also establish a prediction model to solve the combinatorial weighting coefficient with prediction precision as optimization index. After combining the two sets of values dynamicly by using Discrete Orthogonal Method, we get a combinatorial predicted value.
Keywords
combinatorial mathematics; geography; neural nets; optimisation; stochastic processes; artificial neural network; combinatorial predicted value; combinatorial weighting coefficient; crime site; discrete orthogonal combinatorial prediction model; mathematical model; optimization index; prediction precision; stochastic partial elasticity theory; Artificial neural networks; Elasticity; Mathematical model; Neurons; Polynomials; Stochastic processes; Artificial Neural Network; Discrete Orthogonal Combinatoria Prediction; Stochastic Partial Elasticity Theory;
fLanguage
English
Publisher
ieee
Conference_Titel
Control and Decision Conference (CCDC), 2012 24th Chinese
Conference_Location
Taiyuan
Print_ISBN
978-1-4577-2073-4
Type
conf
DOI
10.1109/CCDC.2012.6244000
Filename
6244000
Link To Document