【作者】 朱庆杰； 苏幼坡； 刘廷全； 王志涛；

【Author】 Zhu Qingjie

【机构】 河北理工学院土建系；

【摘要】 场地破坏是自然灾害影响城市建设的主要形式,其不仅破坏人类的生存环境,毁坏建筑物,而且危及人民的生命安全。场地的破坏效应受多种因素影响且这种影响关系不能简单的用线性关系或用权重系数来表示,故建立合适的多元非线性模型,是准确评价场地危险性的关键。以唐山为例,应用人工神经网络方法建立了预测模型,预测了场地灾害危险性。分析了计算结果,并对城市规划建设提出了几点建议。更多还原

【Abstract】 site destruction is the main form of disaster natural which affects the construction of city. It not only destroys the building and environment of human but also endangers the safety of life.The destruction of site is controlled by many factors,and the relations cannot be expressed as linearity or represented by weight coefficients.So,non-linear multianalysis model is the key for site risk evaluation.As an example,neural network method is used to establish the non-linear multianalysis model in Tangshan city,and the site risk is predicted.The calculating result is analyzed,and some suggestions for city planning are given.更多还原