| 基于BP神经网络的改性废灰砖强度预测 |
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| 引用本文： | 孟文清,牛建广. 基于BP神经网络的改性废灰砖强度预测[J]. 山西建筑, 2006, 32(19): 1-2 |
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| 作者姓名： | 孟文清 牛建广 |
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| 作者单位： | 河北工程学院,河北,邯郸,056038 |
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| 基金项目： | 河北省教育厅科学研究项目(项目编号:20052012) |
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| 摘 要： | 在分析改性废灰砖强度影响因素的基础上，选取改性废灰砖配料中的5个因素作为输入值，以改性废灰砖28d强度作为输出值，建立改性废灰砖强度的预测的BP神经网络模型，结果表明，该模型预测强度高，可以用来对改性废灰砖强度进行预测。
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| 关 键 词： | BP神经网络 预测 强度 |
| 文章编号： | 1009-6825(2006)19-0001-02 |
| 修稿时间： | 2006-04-11 |
Predicting of modified fly ash brick strength based on BP artificial neural network |
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| MENG Wen-Qing,NIU Jian-Guang. Predicting of modified fly ash brick strength based on BP artificial neural network[J]. Shanxi Architecture, 2006, 32(19): 1-2 |
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| Authors: | MENG Wen-Qing NIU Jian-Guang |
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| Affiliation: | MENG Wen-Qing NIU Jian-Guang |
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| Abstract: | The influencing factors on modified fly ash brick strength were analyzed to develop the prediction model for its strength.This model is based on BP artificial neural network with 5 influencing factors as input parameters and 28 d strength as output one.The result shows that the prediction accuracy is high.The BP artificial neural network will apply to strength forecast of modified fly ash brick. |
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| Keywords: | BP artificial predict strength |
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