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基于人工神经网络的同条件混凝土强度预测

STRENGTH FORCAST FOR CONCRETE CURDE UNDER THE SAME CONDITION BASED ON ANN
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摘要 同条件养护混凝土试件强度与混凝土的配合比、环境温度、养护时间有密切的关系,它们之间是复杂的非线性关系,采用神经网络模型方法,界定两者之间的关系,可用于实际工程的强度预测。 The concrete strength under the same cured conditions is closely relative with the concrete mix, enviroment temperature and curing time. No accurate model has been put forward to simulate their comlicated nonlinear relationship. This paper applies ANN model to comfirm this relation. The result demonstrates it can be applied to the strength forcast in real work.
出处 《建筑技术开发》 2007年第11期21-22,共2页 Building Technology Development
关键词 混凝土 神经网络 同条件 强度预测 Concrete ANN The same curing condition Strength forcast
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参考文献3

  • 1JGJ55-2000.普通混凝土配合比设计规程.[S].,..
  • 2Tchaban T, Taylor, M J. A Comparison Between Single and Combined Backpropagation Neural Networks in the Prediction of Turnover. Engineering Applications of Artificial Intelligence,1998,11 (1) :41 -47.
  • 3Klein B D ,Rossin D F. Data Quality in Neural Network Models:Effeet of Error Rate and Magnitude of Error on Predictive Accuracy. Omega, 1999,27 (5) :569 - 582.

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