【摘要】 通过建立神经网络中使用最广泛的BP网络模型 ,预测普通混凝土、高强混凝土等多种混凝土强度 .模型的预测值与试验数据、传统的鲍罗米经验公式的预测结果进行了比较 .研究表明 ,神经网络方法由于综合考虑了混凝土强度的各种影响因素 ,能够实现非线性关系 ,具有较高的预测精度 ,在混凝土性能预测中具有广阔的应用前景 .更多还原

【Abstract】 By establishing BP neural network model that is widely applied in all kinds of the neural networks, the strength of common concrete and high strength concrete can be forecasted, and so on. The predicted value of model is compared with the experimental data and the computed result of the Bolomey empirical formula. It is indicated that the neural network method has the good forecasting accuracy and widely applied foreground in forecasting the behavior of the concrete because it can reflect various influence factors of the concrete strength and realize the nonlinear relation.更多还原