Nonlinear Prediction to the Seismic Fire in the Urban Area

摘要：

It is a important problem to study the seismic fire in the urban area . To predict the seismic fire in urban area, this paper tries to put forward a nonlinear means—Artificial Neural Network (ANN). It analyzes the advantages and disadvantages of ANN for prediction and proposes a set of mathematical formula and some suggestions for further improvement. On the base of these analysis of the function or structure of ANN and some factors for the seismic fire in urban area, a software-Nshell is used to predict the fires frequency. According to the available results, the paper also studies how the main factors make influence on seismic fire in urban area. Tests showed that the results obtained through the non-linear means would correspond to the predicted results.

关键词： prediction seismic fire artificial neural network(ANN) BP-network

作者: HOU Zun-ze

作者单位: Chinese Peoples Armed Force Police Academy, Langfang 065000, Hebei China

会议类型: 国际会议

会议名称: 2011 3rd International Conference on Computer and Automation Engineering(ICCAE 2011)(2011年第三届IEEE计算机与自动化工程国际会议)

会议地点: 重庆

会议语种:英文

页码: 348-350

在线出版日期: 2011-01-21（万方平台首次上网日期，不代表论文的发表时间）