节点文献
用于岩土工程位移预测的软科学方法研究
SOFT SCIENCE METHODS FOR DISPLACEMENT PREDICTION IN GEOTECHNICAL ENGINEERING
【摘要】 位移预测对岩土工程稳定性具有重要的实用意义,近来软科学方法得到了广泛重视及应用。对常用软科学方法——灰色系统、时序分析及神经网络进行了系统分析研究,指出了它们的优缺点及适用范围,并提出了一种新型软科学预测方法——进化神经网络法。最后,通过工程实例验证了理论分析的结果。
【Abstract】 It is very important to study displacement prediction method in geotechnical engineering. Recently, the prediction methods based on soft science have been applied widely. Here, the generally used soft science methods-Grey System, Time Series Analysis and Neural Network are analyzed and studied comprehensively, and their merits and demerits are also revealed. Then, a new prediction method based on soft science-Evolutionary Neural Network is proposed. At last, the results of the theory analysis are verified by an engineering example.
【关键词】 位移预测;
软科学方法;
进化神经网络;
【Key words】 Displacement prediction; Soft science method; Evolutionary neural network.;
【Key words】 Displacement prediction; Soft science method; Evolutionary neural network.;
【基金】 国家自然科学基金(编号:50309014)
- 【文献出处】 地球科学进展 ,Advance in Earth Sciences , 编辑部邮箱 ,2004年S1期
- 【分类号】P642
- 【被引频次】10
- 【下载频次】147