模糊神经网络在粉煤灰混凝土强度预测中的应用

Application of fuzzy neural network in strength prediction of fly ash concrete

粉煤灰混凝土强度预测是一个典型的多变量,非线性系统。现在预测的方法准确性较差,难以在实际中被普遍应用。本文将模糊理论与神经网络相结合,综合利用二者的优点,进行粉煤灰混凝土强度的建模与预测。

Strength prediction of fly-ash concrete is a typical non-linear system with muli - variables. Currently most present models could not be widely used clue to their inaccurate prediction. In this paper a productive and applicable model, which combined the advantages of fuzzy theory and neural network, was developed to predict the strength of fly-ash concrete.