摘要
通过建立改进的BP和RBF两种神经网络模型,对混凝土的强度进行预测,将预测值与常规BP神经网络模型预测结果进行了比较,研究表明,改进的BP和RBF的神经网络模型能够充分考虑影响混凝土强度的各种因素,在强度预测中具有广泛的应用前景。
By establishing improved BPNN model and RBFNN model, the strength of concrete can be predicted as show in the paper. Comparing predicted value with the that of normal BPNN model shows that improved BPNN model and RBFNN model can take various parameters influenceing concrete＇ s strength into account and realize nonlinear forecasting. It indicates that the improved BP and RBF network have awidely application prospect in forecasting the strength of the concrete.
出处
《山西建筑》
2006年第19期153-154,共2页
Shanxi Architecture
关键词
混凝土强度
神经网络
预测
concrete strength, neural network, forcast
