节点文献
BP神经网络理论在模型修正的应用
The Application of Neural Network in Model Improving
【摘要】 神经网络由于其本身具有的优越性,已广泛应用于各个领域中的分类、联想问题。将神经网络理论用于对利用有限元分析方法得到的系统模型进行修正,从计算结果看,该方法收敛速度快且收敛到全局最优解。
【Abstract】 Neural Network is applied to classification and auto - memory in all fields, for the superiority of itself. In this paper using BP Neural Network theory improve the model of the system which is established by the Definite Element Method, through the result of calculating of digital example confirm feasibility and the value of reference.
- 【文献出处】 强度与环境 ,STRUCTURE & ENVIRONMENT ENGINEERING , 编辑部邮箱 ,1999年01期
- 【分类号】TP183
- 【被引频次】2
- 【下载频次】133