Application of gradient boosting decision tree in prediction of concrete compressive strength

ZHANG Xin;ZHANG Dexian;XU Lulu;College of Information Science and Engineering,Henan University of Technology;  

The main factors that affect the compressive strength of concrete. A gradient boosting decision tree method is used to construct the prediction model,and the 28 days of compressive strength as the research object. Through the gradient boosting decision tree principle analysis and experimental test model verification. The results show that the model based on gradient boosting decision tree has good application value and better prediction results in concrete compressive strength prediction.

【Fund】： 国家高技术研究发展计划(863计划)(2012AA10608);; “十二五”国家科技支撑计划(2013BAD17B04);; 河南省科技厅自然科学项目(172106000013)
【CateGory Index】： TU528

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