| 神经网络在高性能混凝土强度预报及优化设计中的应用 |
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| 引用本文： | 王毅,梁正平,田育功,刘大智. 神经网络在高性能混凝土强度预报及优化设计中的应用[J]. 建筑技术开发, 2002, 0(2) |
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| 作者姓名： | 王毅 梁正平 田育功 刘大智 |
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| 作者单位： | 河海大学 江苏南京210098(王毅，梁正平)，水电四局设计院 青海西宁810007(田育功)，河海大学 江苏南京210098(刘大智) |
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| 摘 要： | 本文首先介绍了神经网络中应用最为成熟广泛的BP网络的模型及其学习算法 ,并简单对比介绍了RBF网络。然后将其用于长江三峡高性能混凝土强度预报及优化设计中 ,并与线性回归进行了对比 ,结果表明神经网络方法是一种可以定量分析、简便易行并具有较高精度的预报方法 ,在混凝土性能预报和优化设计中具有广阔的应用前景。
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| 关 键 词： | 神经网络 BP网络 RBF网络 混凝土强度预报 混凝土配合比设计 |
APPLICATION OF NEURAL NETWORKS IN STRENGTH FORECAST AND OPTIMAL DESIGN OF HIGH PERFORMANCE CONCRETE |
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| WANG Yi LIANG Zheng|ping TIAN Yu|gong LIU Da|zhi. APPLICATION OF NEURAL NETWORKS IN STRENGTH FORECAST AND OPTIMAL DESIGN OF HIGH PERFORMANCE CONCRETE[J]. Building Technique Development, 2002, 0(2) |
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| Authors: | WANG Yi LIANG Zheng|ping TIAN Yu|gong LIU Da|zhi |
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| Affiliation: | WANG Yi LIANG Zheng|ping TIAN Yu|gong LIU Da|zhi |
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| Abstract: | The model and learning algorithms of BP(Error Back Propagation)network,which is widely applied,is recommended,and RBF(Radial B asis Function)is simply recommended contrastively.Then the two approaches are ap plied to strength forecast and optimal design of high performance concrete used in Three Gorges.Furthermore,we contrast them to the linear regression and the re sults suggest that neutral network is a convenient and quantitative forecasting approach with high accuracy,and it'll have broad prospect of application in perf ormance forecast and optimal design of high performance concrete. [ |
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| Keywords: | Neural network BP neural network RBF neural network Strength forecast of concr ete Mix proportion design of concrete |
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