摘要
针对崩岸影响因素众多、难以定量评价等问题,采用一种基于人工神经网络的崩岸预测方法,介绍了其基本原理.在研究崩岸诸多影响因素的基础上,选取11种主要影响因素建立崩岸预测模型.以随机构造的20个岸坡模型为训练样本,以5个随机岸坡模型为检验样本,实现了岸坡稳定性的人工神经网络预测.初步结果表明,神经网络方法可以应用于崩岸的预测.
In consideration of many influencing factors and some difficulties in quantitative evaluation, the artificial neural network (ANN)-based bank collapse prediction method was adopted, and its principle was introduced. By selection of 11 main influencing factors, a bank collapse prediction model was established. Then 20 bank-slope models, which were randomly generated, were taken as training samples, and 5 random bank-slope models as testing samples, the bank-slope stability was predicted by use of the present model. The result shows that the ANN method can be used for bank collapse prediction.
出处
《河海大学学报(自然科学版)》
CAS
CSCD
北大核心
2007年第5期514-517,共4页
Journal of Hohai University(Natural Sciences)
基金
江苏重点水利科技资助项目(2001048)
国家重点基础研究发展计划(973计划)资助项目(2007CB714102)
关键词
崩岸
预测
人工神经网络
bank collapse
prediction
artificial neural network (ANN)