摘要
在分析土的物理指标与力学指标关系的基础上,利用RBF神经网络,采用土的含水率、密度、孔隙比与塑性指数来预测土的压缩系数。通过实例说明RBF神经网络预测土的物理力学指标是可行的。
On the basis of the analysis of the relation between the physical indexes and the mechanical indexes,by means of RBF neural network system,and in terms of the earth's water ratio,density,pore-solids ratio and plastic index,the coefficient of compressibility is pre-tested.The results from the specific instances indicate that the earth's physical indexes can be pre-tested by means of RBF neural network system.
出处
《建材技术与应用》
2007年第9期7-9,共3页
Research and Application of Building Materials
关键词
RBF神经网络
物理指标
力学指标
压缩系数
预测
RBF neural network
physical index
mechanical index
coefficient of compressibility
pre-testing