摘要
分析了BP神经网络的缺陷和遗传算法的特点,建立了基于遗传-BP神经网络的单桩竖向极限承载力预测模型。实例研究表明,预测模型性能良好、预测精度提高、简便易行、行之有效,该方法具有广泛的应用前景。
The shortcomings of error back-propagation (BP) neural network and the characteristics of genetic algorithm (GA) are analyzed. Based on GA and BP algorithm, the prediction model of vertical ultimate bearing capacity of single pile is built. Real example research shows that the prediction model which based on GA and BP algorithm owns good quality, high precision and is easy to deal with. The method is feasible, effective and has wide applied prospects as well.
出处
《岩土力学》
EI
CAS
CSCD
北大核心
2004年第1期59-63,共5页
Rock and Soil Mechanics
基金
广东省自然科学基金资助项目(2001005)
广东工业大学重点学科基金(20216)。
关键词
遗传算法
BP神经网络模型
单桩
竖向极限承载力
genetic algorithm
BP neural network
Single pile
Vertical ultimate bearing capacity
