Application of Discrete Orthogonal Combinatorial Prediction in Crime Sites

摘要：

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 estabish 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.

关键词： Artificial Neural Network Stochastic Partial Elasticity Theory Discrete Orthogonal Combinatoria Prediction

作者: Hao Jianzhong Teng Yufa Zhang Mingxue Liu Gang Gao Wei

作者单位: Xuzhou Air Force Academy, Xuzhou, Jiangsu, 221000, China

会议类型: 国际会议

会议名称: The 24th Chinese Control and Decision Conference (第24届中国控制与决策学术年会 2012 CCDC)

会议地点: 太原

会议语种:英文

页码: 4285-4290

在线出版日期: 2012-05-23（万方平台首次上网日期，不代表论文的发表时间）