[1]廖小辉,黄新*,施俊玲,等.基于BP网络的再生混凝土抗压强度的预测模型[J].南京林业大学学报(自然科学版),2010,34(05):105-108.[doi:10.3969/j.jssn.1000-2006.2010.05.023]
 LIAO Xiao hui,HUANG Xin*,SHI Jun ling,et al.Forecast model about compressive strength of recycle aggregate concrete base on BP neutral network[J].Journal of Nanjing Forestry University(Natural Science Edition),2010,34(05):105-108.[doi:10.3969/j.jssn.1000-2006.2010.05.023]
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基于BP网络的再生混凝土抗压强度的预测模型
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《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

卷:
34
期数:
2010年05期
页码:
105-108
栏目:
研究论文
出版日期:
2010-10-08

文章信息/Info

Title:
Forecast model about compressive strength of recycle aggregate concrete base on BP neutral network
作者:
廖小辉12黄新1*施俊玲3孙亚丽2
1.南京林业大学土木工程学院,江苏南京210037;2.衢州学院建筑工程系,浙江衢州324000; 3.衢江区建设局,浙江衢州324000
Author(s):
LIAO Xiaohui12 HUANG Xin11* SHI Junling3 SUN Yali2
1.College of Civil Engineering, Nanjing Forestry University, Nanjing 210037, China; 2.Department of Construction Engineering, Quzhou College, Quzhou 324000, China; 3.Qujiang District Construction Bureau, Quzhou 324000, China
关键词:
再生混凝土神经网络抗压强度预测模型
Keywords:
recycled aggregate concrete neural network compressive strength forecast model
分类号:
TU528.9
DOI:
10.3969/j.jssn.1000-2006.2010.05.023
文献标志码:
A
摘要:
利用BP神经网络法,建立了再生混凝土的抗压强度预测模型。该模型采用了3层网络结构模式,输入层采用再生混凝土的配合比数据,输出层为再生混凝土,置放7、28、56、90 d的强度数据,模型的转移函数均采用单极性Sigmoid函数。由于Sigmoid函数值为[0,1],因此,对再生混凝土输入数据进行归一化处理。最后,设计了33块再生混凝土的抗压强度试验,利用试验数据对网络模型进行测试,测试的结果证实了该模型对再生混凝土的强度预测值与实际测试结果基本相符。
Abstract:
The forecast model about the compressive strength of recycled aggregate concrete was set up using the method of BP neutral network. The model was threelayer network structure pattern. The inputtinglayer was the mix ratio of recycled aggregate concrete. The outputtinglayer was the strengths data of the recycled concentrate in 7, 28, 56, 90 d. The model’s transfer function was Sigmoid function.Because the numerical value of Sigmoid was in [0,1]. This article turned the inputting data into the data in [0,1]. At last, the experimental work for the compressive strength of recycled aggregate concrete was designed and performed with 33 pieces. The model was trained and tested by experimental data.It showed that forecast result was match with test results and it could be referenced for experimentation and manufacture.

参考文献/References:

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备注/Memo

备注/Memo:
收稿日期:2010-01-05修回日期:2010-06-10基金项目:衢州市科技局项目(20061048)作者简介:廖小辉(1978—),讲师,博士生。*黄新(通信作者),教授。Email: huangxin@njfu.com.cn。引文格式:廖小辉,黄新,施俊玲,等. 基于BP网络的再生混凝土抗压强度的预测模型[J]. 南京林业大学学报:自然科学版,2010,34(5):105-108.
更新日期/Last Update: 2010-10-08