| 人工神经网络方法在桩基检测中的应用 |
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| 引用本文： | 鄢泰宁,王生,李邵军.人工神经网络方法在桩基检测中的应用[J].地质科技情报,1999(Z1). |
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| 作者姓名： | 鄢泰宁 王生 李邵军 |
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| 作者单位： | 中国地质大学工程学院 |
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| 基金项目： | 原地质矿产部地质行业科学技术发展基金 |
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| 摘 要： | 提出了一种基于桩基动测波动数据的人工神经网络识别方法，所建立的多层神经网络通过对已知样本的学习，可实现对未学习样本（桩基检测数据）的识别，指出桩基中存在的缺陷。实际检验的结果表明该方法具有良好的应用前景
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| 关 键 词： | 人工神经网络 桩基检测 微机应用 |
APPLICATION OF INSPECTING PILES BY ARTIFICIAL NEURAL NETWORK METHOD |
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| Yan Taining,Wang Sheng,Li Shaojun.APPLICATION OF INSPECTING PILES BY ARTIFICIAL NEURAL NETWORK METHOD[J].Geological Science and Technology Information,1999(Z1). |
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| Authors: | Yan Taining Wang Sheng Li Shaojun |
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| Abstract: | An artificial neural network method is suggested in the paper to recognize the defects of the pile based on dynamic wave data After learning from known sample,the network can recognize unknown samples and export the signals of faults in the piles The recongnized results indicate the advantage of the artificial neural network And it is believed that there is a good potential for use in future |
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| Keywords: | artificial neural network defect of pile computer application |
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