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孙道恒, 胡俏, 徐灏. 弹性力学的实时神经计算原理与数值仿真[J]. 力学学报, 1998, 30(3): 348-353. DOI:10.6052/0459-1879-1998-3-1995-136
引用本文: 孙道恒, 胡俏, 徐灏. 弹性力学的实时神经计算原理与数值仿真[J]. 力学学报, 1998, 30(3): 348-353.DOI:10.6052/0459-1879-1998-3-1995-136
REAL TIME NEUROCOMPUTING THEORY AND NUMERICAL SIMULATION ON ELASTIC MECHANICS 1)[J]. Chinese Journal of Theoretical and Applied Mechanics, 1998, 30(3): 348-353. DOI:10.6052/0459-1879-1998-3-1995-136
Citation: REAL TIME NEUROCOMPUTING THEORY AND NUMERICAL SIMULATION ON ELASTIC MECHANICS 1)[J].Chinese Journal of Theoretical and Applied Mechanics, 1998, 30(3): 348-353.DOI:10.6052/0459-1879-1998-3-1995-136

弹性力学的实时神经计算原理与数值仿真

REAL TIME NEUROCOMPUTING THEORY AND NUMERICAL SIMULATION ON ELASTIC MECHANICS 1)

  • 摘要:针对现代结构分析的特点,提出了基于神经网络结构的弹性力学分析原理;给出求解该问题的网络———改进的Hopfield和TH网络.提出用BP网络来实现单元刚度矩阵的实时计算.最后,对两个简单结构的弹性力学神经计算进行了数值仿真

    Abstract:ow to reduce the time in structural analysis and design has been alwaysa remarkable problem for engineers and researchers. Because of the nonlinear and parallel processing ability, Neural Networks (NN) has been widely used. In this paper, some fundamental problems about the applications of NN in structural analysis have been studied through theoretical analysis and numerical simulation. Based on the Hopfield NN, the concept of Energy Functional and the Minimal Potential Principle, the computation of elastic...

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