基于极限学习机的新型建筑材料力学性能预测方法  

Prediction method of mechanical properties of new building materials based on limit learning machine

作　　者：张勇[1] ZHANG Yong(Department of Hotel Engineering,Qingdao Vocational and Technical College of Hotel Management,Shandong Qingdao 266100,China)

机构地区：[1]青岛酒店管理职业技术学院酒店工程学院,山东青岛266100

出　　处：《齐齐哈尔大学学报（自然科学版）》2021年第3期66-70,共5页Journal of Qiqihar University(Natural Science Edition)

基　　金：山东省交通科技计划项目“基于钢混组合结构叠合梁设计理念的钢混结合受力性能分析及应用型研究”(2017B99)。

摘　　要：为减少新型建筑材料力学性能预测方法预测投入成本,提升预测效率,提出了基于极限学习机的新型建筑材料力学性能预测方法。提取新型建筑材料力学性能因子,不断加深对因子内部的了解,完善收集的数据信息,增强因子数据查找力度,进一步分析新型建筑材料力学性能因子的所处状态,按照内部分析准则转换因子存储方式,调节空间信息,利用获取的数据预测新型建筑材料力学性能,完成整体预测研究操作。实验结果表明,设计方法完善了预测研究隐藏性能,在预测投入较低的情况下仍然具备较高的预测效率。In order to reduce the cost of prediction and improve the efficiency of prediction,this paper proposes a prediction method of mechanical properties of new building materials based on extreme learning machine.The mechanical performance factors of new building materials are extracted to deepen the understanding of the internal factors,improve the collected data information,enhance the search of factor data,further analyze the status of mechanical performance factors of new building materials,convert the storage mode of factors according to the internal analysis criteria,adjust the spatial information,and use the obtained data to predict the mechanical properties of new building materials,complete the overall prediction research operation.The experimental results show that the proposed method improves the hidden performance of prediction research,and still has high prediction efficiency under the condition of low prediction input.

关 键 词：极限学习机 新型建筑 建筑材料 力学性能预测 

分 类 号：TU501[建筑科学—建筑技术科学]