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Artificial Neural Network Analysis Method of Concrete Performance Based on Virtual Data Samples

机译:基于虚拟数据样本的具体性能人工神经网络分析方法

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摘要

The relationship between concrete performance and influence factors is uncertain and nonlinear. Accordingly, present BP neural network and virtual samples are presented to predict concrete performance in this paper. At first neural network and matters which need attention are introduced, And frost resistance forecasting model and impermeability model are built up, which are three-tier BP neural network of 6-13-2,4-9-1. The results show that the predicted values are ideal, and artificial neural network as one of the methods to forecast performance of concrete is appropriate.
机译:具体性能与影响因素之间的关系是不确定和非线性的。因此,提出了存在的BP神经网络和虚拟样本以预测本文的具体性能。在介绍的第一次神经网络和需要注意的事项中,建立了冰霜电阻预测模型和不渗透模型,这是6-13-2,4-9-1的三层BP神经网络。结果表明,预测值是理想的,人工神经网络作为预测混凝土性能的方法之一是合适的。

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