基于神经网络的地震区结构经济性分析系统

结构选型是建筑设计中较为重要的一环,影响因素众多,其中很重要的一项制约因素是经济性。结构的经济性又受到诸多因素的影响。提出了一个基于MATLAB6.1神经网络工具箱构建的经济评价系统,通过存储以往建筑结构设计、建造中的经验数据,来指导设计人员进行现行建筑结构经济性的预测,从而在满足安全、适用条件下选择经济合理的结构型式。实例结果表明此方法是有效的。

Economic analysis system of earthquake-resistant structures based on neural network

The selection of the structural forms is one of the most important factors of building design. There are lots of factors restricting the result of the structural form, among them the economics of structures is very important. The economicy is affected by many factors. An economic analysis system based on neural network tool box of Matlab 6.1 was presented, in which the experience in the former design and construction has been storaged, which can help designers to forecast the economic structure. So the appropriate system of structures in economy can be found in condition of safety and applicability. The result of an example shows this method is effective.