首页 | 本学科首页   官方微博 | 高级检索  
     

神经网络在高强混凝土配制中的应用研究
引用本文:雷元新,叶作楷,冼伟华. 神经网络在高强混凝土配制中的应用研究[J]. 建筑技术开发, 2001, 0(8)
作者姓名:雷元新  叶作楷  冼伟华
作者单位:佛山科学技术学院!广东佛山528000
基金项目:广东省佛山市第一批重点科技攻关项目 (0 0 SG 12 ),科技发展专项资金资助项目 (0 0 0 40 0 2C)
摘    要:基于人工神经网络的原理和高强混凝土配制及施工的技术经验和路线 ,提出了解决高强混凝土配制模式特征不明确、随机因素多、各组分对混凝土强度及泵送性能影响呈非线性等问题的BP神经网络方法 ,据此开发的混凝土配合比设计应用软件 ,能较好地实现高强混凝土的强度及流动性能的预测。

关 键 词:人工神经网络  性能预测  配制  高强混凝土

STUDY ON THE APPLICATION OF BACK PROPAGATION NEURAL NETWORK TO CONFECT HIGH STRENGTH CONCRETE
LEI Yuan|xin YE Zuo|kai XIAN Wei|hua. STUDY ON THE APPLICATION OF BACK PROPAGATION NEURAL NETWORK TO CONFECT HIGH STRENGTH CONCRETE[J]. Building Technique Development, 2001, 0(8)
Authors:LEI Yuan|xin YE Zuo|kai XIAN Wei|hua
Affiliation:LEI Yuan|xin YE Zuo|kai XIAN Wei|hua
Abstract:Based on the theory of neural network. the technical experiences and route of the compounding and construction in high strength pumping concrete, the author suggests a BP neural network approach to solve the problems of modular ambiguity, the multiple random factors and the nonlinear influence of the composition to the strength of the concrete. Accordingly, he develops an applicable software for mix proportion of concrete which is capable of forecasting the strength and the workability of the high strength concrete. [
Keywords:Artificial neural network  Function forecast  Confect  High strength concrete
本文献已被 CNKI 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号