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The study about prediction model of concrete carbonation depth

机译:混凝土碳化深度预测模型研究

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Based on BP neutral network, forecast model about the concrete carbonation depth is constructed. The model was three-layer network structure pattern. The inputting-layer was the mix proportions of concrete. The outputting-layer was the concrete carbonation depth in 7d and 28d. The model''s transfer function was Sigmoid function and the input data was normalized‥ At last, the experimental work for the concrete carbonation depth was
机译:基于BP神经网络,建立了混凝土碳化深度的预测模型。该模型是三层网络结构模式。输入层是混凝土的配合比。输出层是7d和28d的混凝土碳化深度。模型的传递函数为Sigmoid函数,并标准化了输入数据‥最后,对混凝土碳化深度进行了实验。

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