标题：Strength Prediction Model of High Strength Fly Ash Concrete Based on Mixed Kernel Function (Open Access)
作者：Zhao, Zhongling ;Li, Jing ;Feng, Xiwen ;Wang, Xiao ;Gao, Mengying
作者机构：[Zhao, Zhongling ] Department of Finance and Economics, Shandong University of Science and Technology, Jinan; 250000, China;[Li, Jing ;Feng, Xiwen ;Wa 更多
会议名称：2019 5th International Conference on Environmental Science and Material Application, ESMA 2019
会议日期：December 15, 2019 - December 16, 2019
来源：IOP Conference Series: Earth and Environmental Science
摘要：In this paper, the proportion of fly ash in cementitious material, the amount of cementitious material and the ratio of water to cement are selected, and the rough set theory is used to process the data. A mixed kernel function support vector machine prediction model with conditional attribute as input and decision attribute as output is established to explore the influence of three factors on the strength of high strength fly ash concrete. The prediction model with high prediction accuracy is selected for optimization. According to the existing test data, the variation law of concrete strength with proportioning parameters is summarized.
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