| 基于蚁群神经网络的电阻点焊工艺参数优化 |
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| 引用本文： | 舒服华,王志辉.基于蚁群神经网络的电阻点焊工艺参数优化[J].焊接,2007(2):39-42. |
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| 作者姓名： | 舒服华 王志辉 |
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| 作者单位： | 武汉理工大学机电工程学院,430070 |
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| 摘 要： | 提出了一种神经网络与蚁群算法相结合的08Al钢板电阻点焊工艺参数优化方法.以试验数据为样本,通过神经网络建立焊接工艺参数与焊接性能关系之间的复杂模型,利用蚁群算法对焊接工艺参数进行优化,充分发挥神经网络的非线性映射能力和蚁群算法全局寻优能力.仿真试验显示了方法的有效性和优越性.
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| 关 键 词： | 电阻点焊 工艺参数 神经网络 蚁群算法 |
| 修稿时间： | 2006-11-14 |
Resistance of spot welding parameter optimization based on ANN and COA |
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| Shu Fuhua,Wang Zhihui.Resistance of spot welding parameter optimization based on ANN and COA[J].Welding & Joining,2007(2):39-42. |
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| Authors: | Shu Fuhua Wang Zhihui |
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| Abstract: | A kind of method on 08Al steel plate resistance spot welding parameters optimization combining neural networks with colony optimization algorithms (COA) was presented. Taking experiment data as samples, the model between spot welding parameters and spot welding function was established based on artificial neural networks( ANN). Welding parameters were optimized by using colony optimization algorithms. It indicates that ANN nonlinear and COA has overall search. Test showed its effectible and advantage. |
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| Keywords: | resistance spot welding technological parameter artificial neural networks colony optimization algorithms |
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