基于FNN的农村建筑震害预测研究

Earthquake damage prediction of rural buildings based on FNN

以FNN算法实现震害预测,确定预测因素和指标隶属度,建立模糊BP模型,进行神经网络构建,以实地测量的方式,采集建筑样本进行试验,分别研究了各个因素对建筑震害的影响,包括高宽比、层数、横向跨数、纵向跨数、地震烈度、抗震横墙数的影响,对建筑震害主导因子进行确定,以优化BP网络进行建筑震害估算,仿真结果证实:估算效果较好。

The application of FNN model in earthquake damage prediction of buildings is dis- cussed in the paper. The method of building fuzzy model based on the rough set theory is provided. The factors of influence are presented, including high aspect ratio, number of layers, horizontal cross, vertical cross number, seismic intensity, earthquake resistance. The main factors of earthquake damage are identified and the simulation results verify the effectiveness of the proposed method.