| 基于BP神经网络的水泥混凝土路面抗滑性能分析 |
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| 引用本文： | 喻小毛. 基于BP神经网络的水泥混凝土路面抗滑性能分析[J]. 山西建筑, 2012, 38(17): 176-177 |
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| 作者姓名： | 喻小毛 |
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| 作者单位： | 江西现代技师学院,江西南昌,330029 |
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| 摘 要： | 以水泥混凝土路面材料设计方案以及月降水量为输入,以路面摩擦系数表征路面抗滑性能为输出,利用BP神经网络分析水泥混凝土路面抗滑性能,研究表明,BP网络能考虑不同公路的实际差异,找到路面材料设计方案及月降水量与抗滑性能的最佳组合,为实际施工提供指导。
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| 关 键 词： | 水泥混凝土 路面 BP神经网络 材料设计 月降水量 抗滑性能 |
Anti-sliding performance analysis of cement concrete pavement based on BP neural network |
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| YU Xiao-mao. Anti-sliding performance analysis of cement concrete pavement based on BP neural network[J]. Shanxi Architecture, 2012, 38(17): 176-177 |
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| Authors: | YU Xiao-mao |
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| Affiliation: | YU Xiao-mao(Jiangxi Modern Technician College,Nanchang 330029,China) |
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| Abstract: | Taking cement concrete pavement material design scheme and monthly precipitation as the input,and taking anti-friction coefficient embodying anti-sliding property as the output,the paper analyzes the anti-sliding performance of cement concrete pavement by applying BP neural network.Results show that BP network finds out the optimal combination of pavement material design scheme and monthly precipitation and anti-sliding performance by considering various highway conditions,which has provided guidance for actual construction. |
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| Keywords: | cement concrete pavement BP neural network material design monthly precipitation anti-sliding performance |
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