摘要
本文运用模糊神经网络原理,采用学习结合型FNN方法,针对两种不同材料梁的大变形进行了网络建模和预测的数值仿真.仿真结果表明,网落模型所具有的输入输出特性与所对应的实际力学系统的实验测量十分吻合实现了高精度预测.
Principles of fuzzy neural network and FNN method are adopted for the numerical simulation of network modeling and forecasting of beams with finite deformation of two different materials.The simulation shows that both the input and output characteristics of the network model perfectly coincide with the experimental results of the actural mechanical system.Thus,highly accurate forecast of network model is realized.
出处
《内蒙古工业大学学报(自然科学版)》
2003年第4期253-258,共6页
Journal of Inner Mongolia University of Technology:Natural Science Edition
关键词
模糊神经网落
大变形
建模与预测
fuzzy neural network
finite deformation
modeling and forecasting