两种神经网络在混凝土强度预测应用中的探讨

A Discussion on the Application of Two Kinds of NN in Strength Forecast

通过建立BP和RBF两种神经网络模型,来对混凝土的强度进行预测。将预测值同Bolomey公式计算结果进行了比较。研究表明,基于Matlab的神经网络能够充分考虑影响混凝土强度的各种因素,通过建立非线性模型进行预测,具有一定的精度,在强度预测中具有广泛的应用前景。

By establishing BP NN model and RBF NN model, the strength of concrete can be predicted as shown in the paper. Comparing predicted value with the calculated result by the Bolomey formula shows that NN based on Matlab can take various parameters influencing concrete's strength into account and (realize) nonlinear forecasting with accuracy. It indicates that the neural network has a widely application (prospect) in forecasting the strength of the concrete.