| 网壳稳定性拟合的神经网络方法 |
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| 引用本文： | 吴剑国,李红明,张其林.网壳稳定性拟合的神经网络方法[J].钢结构,2001,16(6):19-21. |
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| 作者姓名： | 吴剑国 李红明 张其林 |
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| 作者单位： | 1. 华东船舶工业学院,
2. 同济大学 |
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| 摘 要： | 介绍了人工神经网络的BP算法 ,采用人工神经网络技术进行网壳极限承载力的拟合研究 ,获得了较回归公式更准确的拟合 ,为网壳稳定性的理论研究和工程设计提供了一种新方法
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| 关 键 词： | 网壳结构 稳定性 非线性分析 人工神经网络 |
| 修稿时间： | 2001年7月7日 |
NEURAL NETWORK TO APPROXIMATE THE STABILITY OF RETICULATED SHELL STRUCTURES |
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| Wu,Jianguo,Li,Hongming.NEURAL NETWORK TO APPROXIMATE THE STABILITY OF RETICULATED SHELL STRUCTURES[J].Steel Construction,2001,16(6):19-21. |
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| Authors: | Wu Jianguo Li Hongming |
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| Affiliation: | Wu Jianguo Li Hongming (East China Shipbuilding Institute Zhenjiang 212003) Zhang Qilin (Tongji University Shanghai 200092) |
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| Abstract: | The BP approach of artificial neural network is introduced in this paper Artificial neural network techniques are applied to approximate the stability of reticulated shell structures A new and more precise method to compare with regression is presented for studying the stability of reticulated shells and engineering design |
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| Keywords: | reticulated shells stability nonlinear analysis artificial neural network |
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