灾害学2017，Vol.32Issue(1)：1-4,10,5.DOI:10.3969/j.issn.1000-811X.2017.01.001
基于随机权神经网络的地震灾害经济损失评估与预测
Earthquake Disaster Economic Loss Estimation and Prediction Based on Neural Networks with Random Weights
摘要
Abstract
The estimation and prediction of earthquake disaster loss is an important part of seismic risk man-agement.The earthquake disaster direct economic loss of 2008-2014 in China was evaluated by using the NNRW, and compared with the traditional BP neural network.Experimental results show that the NNRW is better than the BP neural network in training time,training accuracy and prediction accuracy.Therefore,the NNRW provides a new method for the rapid and accurate assessment and prediction of direct economic loss of earthquake disaster.关键词
随机权神经网络/地震灾害/直接经济损失/评估/预测Key words
neural networks with random weights/earthquake disaster/direct economic loss/estimation/prediction分类
资源环境引用本文复制引用
谢家智,车四方,林涌..基于随机权神经网络的地震灾害经济损失评估与预测[J].灾害学,2017,32(1):1-4,10,5.基金项目
教育部规划基金项目（12YJA790149）；国家社科基金重点项目 （）
