| BP神经网络理论在模型修正的应用 |
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| 引用本文： | 蔡国平,赵玉成.BP神经网络理论在模型修正的应用[J].强度与环境,1999(1):43-49. |
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| 作者姓名： | 蔡国平 赵玉成 |
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| 作者单位： | 西安交通大学力学系!710049 |
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| 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。
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| 关 键 词： | 神经网络 有限元法 数学模型 |
The Application of Neural Network in Model Improving |
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| Cai Guoping, Zhao Yucheng, Wan Chao.The Application of Neural Network in Model Improving[J].Structure & Environment Engineering,1999(1):43-49. |
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| Authors: | Cai Guoping Zhao Yucheng Wan Chao |
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| 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. |
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| Keywords: | Neural network Limite element method Mathematical model |
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