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基于BP网络的再生混凝土抗压强度的预测模型(PDF)

《南京林业大学学报(自然科学版)》[ISSN:1000-2006/CN:32-1161/S]

Issue:
2010年05期
Page:
105-108
Column:
研究论文
publishdate:
2010-10-08

Article Info:/Info

Title:
Forecast model about compressive strength of recycle aggregate concrete base on BP neutral network
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
Keywords:
recycled aggregate concrete neural network compressive strength forecast model
Classification number :
TU528.9
DOI:
10.3969/j.jssn.1000-2006.2010.05.023
Document Code:
A
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.

References

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Last Update: 2010-10-08