摘要
利用小波模型、神经网络模型及小波神经网络模型,分别以累积沉降样本和间隔沉降样本作为训练样本对沉降进行了分析预测,证明了在大多数情况下采用间隔沉降样本进行沉降分析预测的效果较好.
Using the wavelet model, neural network model, and wavelet ＆ neural network model, this article analyzes and forecasts settlement on the basis of the samples of aecumulated settlement and interval settlement. The results showed that the interval settlement can get better effect than accumulated settlement for the most part.
出处
《河南工程学院学报（自然科学版）》
2011年第3期24-29,共6页
Journal of Henan University of Engineering：Natural Science Edition
基金
国家自然科学基金(41071294)
关键词
沉降预测
小波分析
神经网络
小波神经网络
settlement forecast
wavelet analysis
neural networks
wavelet neural network
