| 应用BP网络和遗传算法的快速分析与优化 |
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| 引用本文： | 贡智兵,李东波,潘洋宇. 应用BP网络和遗传算法的快速分析与优化[J]. 现代制造工程, 2006, 0(1): 57-59 |
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| 作者姓名： | 贡智兵 李东波 潘洋宇 |
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| 作者单位： | 1. 南京理工大学机械工程学院,南京,210094
2. 淮安信息职业技术学院机械工程系,淮安,212001 |
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| 摘 要： | 将BP神经网络和遗传算法相结合运用于快速设计的结构优化问题。利用已有的实例对神经网络进行训练达到要求精度,使神经网络能够代替有限元分析达到快速分析的目的。用神经网络计算遗传算法的适应度,对结构进行优化。把BP神经网络和遗传算法相结合进行分析和优化符合快速设计的思想。此方法运用于某拱梁的快速优化设计中效果良好。
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| 关 键 词： | 快速设计 优化设计 遗传算法 BP神经网络 |
| 文章编号： | 1671-3133(2006)01-0057-03 |
| 修稿时间： | 2005-07-12 |
Rapid analysis and optimization based on BP neural networks and genetic algorithm |
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| Gong Zhibing,Li Dongbo,Pan Yangyu. Rapid analysis and optimization based on BP neural networks and genetic algorithm[J]. Modern Manufacturing Engineering, 2006, 0(1): 57-59 |
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| Authors: | Gong Zhibing Li Dongbo Pan Yangyu |
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| Abstract: | BP neural networks and GA were applied to the optimal design of mechanical structure.BP neural networks was trained and took the place of the FE analysis in order to design rapidly.Using BP neural networks, the fitness of GA was calculated,on the basis of which the mechanical structure was optimized.Analyzing and optimizing mechanical structure with this method fit for rapid design.The result of the optimal design of an arch girder with this method is good. |
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| Keywords: | Rapid design Optimal design GA BP neural networks |
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