| 人工神经网络在预测软基沉降中的应用研究 |
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| 引用本文： | 王新征,郑伟花.人工神经网络在预测软基沉降中的应用研究[J].路基工程,2010,0(1):128-130. |
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| 作者姓名： | 王新征 郑伟花 |
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| 作者单位： | 南阳师范学院土木建筑工程学院, 河南南阳 473061 |
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| 摘 要： | 依据影响软土路基沉降的因素选取参数建立了BP神经网络预测最终沉降量模型,利用已建高速公路沉降数据,进行了软土地基最终沉降量的预测,取得了较为理想的效果。证明神经网络法能避免传统方法计算过程中各种人为因素的干扰,计算精度高,泛化性强,简便易行,因而具有广泛的工程使用价值和广阔的工程应用前景。
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| 关 键 词： | 软土路基 沉降预测 人工神经网络 |
| 收稿时间： | 2019-11-07 |
Study on Application of Artificial Neural Network to Soft Base Settlement Prediction |
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| Authors: | WANG Xin-zheng ZHENG Wei-hua |
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| Affiliation: | College of Civil Architecture Engineering/a>;Nanyang Normal University/a>;Nanyang 473061/a>;Henan/a>;China |
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| Abstract: | This paper establishes the model to predict the final settlement with BP neural network with para-meters selected according to the factors influencing soft soil subgrade settlement and carries out prediction for the final settlement of soft soil subgrade with the established expressway settlement data and obtained better effect.It proves that neural network can prevent interference of various artificial factors during calculation with traditional methods,with high calculation precision,strong generalization... |
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| Keywords: | soft soil subgrade settlement prediction artificial neural network |
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