论文部分内容阅读
本文以混凝土抗压强度建模为例 ,介绍一种自组织学习的 RBF算法 ,并与广受欢迎的 BP算法比较。仿真结果表明 ,RBF网络的学习速度显著加快 ,并具有较好的泛化能力 ,能有效地应用于混凝土领域。
Taking concrete compressive strength modeling as an example, this paper introduces a self-organized RBF algorithm and compares it with the popular BP algorithm. The simulation results show that the learning speed of RBF network is significantly accelerated and has good generalization ability and can be effectively applied in the field of concrete.