Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network

LIU Yong-jian

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Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network

更新时间：2026-06-25

- Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network
- Vol. 25, Issue 1, (2004)
- 作者机构：
  
  广东工业大学建设学院,广东,广州,510500
- 作者简介：
- 基金信息：
- DOI：
  CLC： 0241
- Online First：15 July 2014，
  
  Published：2004
- 稿件说明：
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LIU Yong-jian. Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network[J]. 2004, 25(1).
DOI：

LIU Yong-jian. Study of prediction method of vertical ultimate bearing capacity of single pile based on genetic algorithm and neural network[J]. 2004, 25(1). DOI：

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。

Abstract

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.

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