摘要
针对混凝土强度预测中存在的问题,提出了一种人工智能模型——人工神经网络预测方法,用人工神经网络对16种配比的混凝土进行了28 d强度预测,结果表明该模型可靠度很高,可用于优化混凝土的试配,从而节约大量的人力、物力和时间。
In view of the questions encountered in concrete strength prediction one artificial intelligent method-Artificial Neural Network prediction method is proposed. Utilizing this method 28 d strength prediction of 16 concrete samples with different mix proportions is carried out. Test results show this prediction model is reliable, which can be used for trial mixing for optimization to save labor, material resources and time.
出处
《山西建筑》
2008年第27期99-101,共3页
Shanxi Architecture
关键词
混凝土
人工神经网络
强度
预测
concrete, Artificial Neural Network, strength, prediction
