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基于人工神经网络的建筑物沉降预测
引用本文:雷学文,郭应桐. 基于人工神经网络的建筑物沉降预测[J]. 建筑技术开发, 2003, 0(7)
作者姓名:雷学文  郭应桐
作者单位:武汉科技大学城建学院 武汉430070(雷学文),中科院武汉岩土力学研究所 武汉430071(郭应桐)
摘    要:根据建筑物实测沉降利用人工神经网络理论 ,建立了前馈网络预测模型并提出新的学习算法 ,结合某建筑物纠偏工程实例对建筑物沉降进行了预测。预测结果表明神经网络方法是可行且有效的

关 键 词:建筑物沉降  预测  人工神经网络

PREDICTION OF BUILDING SETTLEMENT BASED ON ARTIFICIAL NEURAL NETWORK
Lei Xue-wen Guo Ying-tong. PREDICTION OF BUILDING SETTLEMENT BASED ON ARTIFICIAL NEURAL NETWORK[J]. Building Technique Development, 2003, 0(7)
Authors:Lei Xue-wen Guo Ying-tong
Affiliation:Lei Xue-wen Guo Ying-tong
Abstract:According to the field survey of building settlement,the artificial neural network theory and method is adopted to predict the building settlement,build the feedforward network forecasting model and presented the new learning algorithm.It can be seen from the forecasting result on the example that the ANN prediction method is feasible and effective.
Keywords:Building settlement  Prediction  Artificial neural network  
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