摘要
建筑混凝土的强度受多种因素的影响,其强度的预测是一个多指标综合复杂问题。基于机器算法支持向量机建立了建筑混凝土的强度设计与预测的支持向量机模型,其中模型参数通过粒子群算法进行选择和优化。将建立的模型计算结果与实测混凝土28 d抗压强度进行比较,讨论了各因素与强度值之间的关系。研究表明:预测结果与实测结果一致,可见该模型可以很好的为混凝土设计提供依据。
Construction of concrete strength is affected by many factors,and the strength of the prediction is a multi-index comprehensive complex problems.Based on Support vector machine algorithm machine,concrete strength prediction model of the design was established.The model parameters were selected by the particle swarm algorithm and optimization.The relationships between the strength values and the various factors were discussed.Results show that the predicted and measured results are consistent, showing that the model can provide a basis for concrete design.
出处
《混凝土》
CAS
CSCD
北大核心
2012年第2期55-56,62,共3页
Concrete
关键词
建筑混凝土
机器算法
支持向量机
粒子群
设计
high strength concrete
SVM
support vector machine
particle swarm algorithm and optimization
design
