| 利用BP神经网络反算土基回弹模量研究 |
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| 引用本文： | 杨国良,张肖宁,王端宜.利用BP神经网络反算土基回弹模量研究[J].中南公路工程,2007,32(1):44-46,50. |
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| 作者姓名： | 杨国良 张肖宁 王端宜 |
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| 作者单位： | 华南理工大学交通学院 广东广州510640 |
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| 摘 要： | 根据三层BP神经网络和层状弹性理论体系,结合FWD研究土基回弹模量的反算。通过利用反算的土基回弹模量,比较了理论和实测土基顶面的弯沉值,从而发现所建立的神经模型有很好的识别能力和泛化能力,其模型可作为评价土基回弹模量的有效途径。
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| 关 键 词： | 土基回弹模量 BP神经网络 模量反算 层状弹性体系 落锤式弯沉仪(Falling Weight Deflectome-ter) |
| 文章编号： | 1002-1205（2007）01-0044-03 |
| 修稿时间： | 2005-12-06 |
Study. of Artificial-Neural-Network-Based Backcalculation of Subgrade Resilient Moduli |
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| YANG Guoliang, ZHANG Xiaoning, WANG Duanyi.Study. of Artificial-Neural-Network-Based Backcalculation of Subgrade Resilient Moduli[J].Central South Highway Engineering,2007,32(1):44-46,50. |
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| Authors: | YANG Guoliang ZHANG Xiaoning WANG Duanyi |
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| Institution: | School of Traffic and Communications, South China University of Technology, Guangzhou, Guangdong 510640, China |
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| Abstract: | The backcalculation of subgrade resilient moduli is researched with Falling Weight Deflectometer according to 3-layed BP artificial neural network and layered elastic system.According to make use of backcalculated subgrade resilient moduli,theoretical and measured top surface deflections are compared.The results show the ability of re-recognition and generation of the designed network is good,and can be used as an effective approach to estimate subgrade resilient moduli. |
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| Keywords: | subgrade resilient moduli BP artificial neural network moduli backcalculation layered elastic system Falling Weight Deflectometer |
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