Comparaison radial basis and Artificial Neural Network for Behavior of Rubberized Concrete

摘要：

Behavior of rubberized concrete specially in compressive strength has been studied in this paper.three different methods namely Artificial Neural Network, Radial Basis Function and Linear Regression Model were used for prediction compressive strength of rubberized concrete. Experimental test include recycling 5,10,and 20% percentage of concrete aggregate with different powder size 0.2, 0.4, 0.6 mm of rubber. the performance of each model is evaluated using the Root Mean Square Error (MSE), Correlation Coefficient(R) and Correlation of determination (R2).

作者: Adel Abdolahzadeh Reza Masoudnia Somayyeh Aghababaei

作者单位: Department of Civil and Structural Engineering, Faculty of Engineering and Built Environment,UKM Department of Computer Sciense, Information Science & Technology,UKM

会议类型: 国际会议

会议名称: The 6th International Conference on Physical and Numerical Simulation of Materials Processing(第六届材料与热加工物理模拟及数值模拟国际学术会议 ICPNS 2010)

会议地点: 桂林

会议语种:英文

页码: 1

在线出版日期: 2010-11-16（万方平台首次上网日期，不代表论文的发表时间）