| 基于神经网络的复合材料覆盖件电厚度设计方法研究 |
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| 引用本文： | 焦俊婷,林树枝,王石榴.基于神经网络的复合材料覆盖件电厚度设计方法研究[J].嘉应学院学报,2010,28(11):46-48. |
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| 作者姓名： | 焦俊婷 林树枝 王石榴 |
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| 作者单位： | [1]厦门理工学院建工系,福建厦门361024 [2]厦门市建设与管理局,福建厦门361000 [3]嘉应学院学报编辑部,广东梅州514015 |
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| 基金项目： | 福建省教育厅科研项目，梅州市科技计划项目 |
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| 摘 要： | 提出了基于人工神经网络的复合材料覆盖件电厚度设计模型和设计方法。影响复合材料覆盖件电厚度的多因素性使其很难得到精确的解析解。应用人工神经网络方法结合实验实测数据,模拟覆盖件各项参数与电厚度之间的非线性关系,以玻璃钢材料为例,对相近使用条件下的覆盖件电厚度进行设计,计算结果表明该方法计算速度快,精度高,为复合材料电厚度的设计分析提供了一种新方法。
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| 关 键 词： | 人工神经网络 复合材料 玻璃钢 壳体 电厚度 |
Design and analysis on electrical thickness of composite radar dome abased on ANN |
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| JIAO Jun-ling,LIN Shu-zhi,WANG Shi-liu.Design and analysis on electrical thickness of composite radar dome abased on ANN[J].Journal of Jiaying University,2010,28(11):46-48. |
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| Authors: | JIAO Jun-ling LIN Shu-zhi WANG Shi-liu |
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| Institution: | 1.Department of GvilEngineering,Xiamen University of Technology,Xiamen 361024,China;2.Construction and Management Bureaus of Xiamen 361000,China; 3.Jiaying University,Meizhou 514015,China) |
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| Abstract: | The objective of the research is to setup electrical thickness designing model and method of composite based on artificial neural network.It is very difficult to find an accurate resolution of composite electrical thickness for various causations.BP neural network is chosen to simulate the nonlinear relationship between electrical thickness and the causations.Experimental data are applied to train network as samples.Finally,the trained network is put to predict electrical thickness of composite shell.Electrical thickness of same material at similar conditions could be yielded from the outputs of BP.The prediction results show that this method is an accurate way with a reasonable computational cost. |
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| Keywords: | artificial neural network composite fiberglass reinforced plastics shell electrical thickness |
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