| 基于BP神经网络和改进遗传算法的蒸发器支座结构优化设计 |
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| 引用本文： | 王维刚,龙飞.基于BP神经网络和改进遗传算法的蒸发器支座结构优化设计[J].化工机械,2009,36(4):317-322,325. |
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| 作者姓名： | 王维刚 龙飞 |
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| 作者单位： | 大庆石油学院,黑龙江省大庆市,163318 |
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| 摘 要： | 应用显著性分析选取了优化结构参数，利用正交试验法和有限元法确定了神经网络样本数据，建立了反映结构特性的人工神经网络模型，为遗传算法提供了适应度函数，并通过改进遗传算法完成了函数优化。对比和分析结果表明，优化结构比初始结构的体积减少了19．9％，失稳临界载荷提高了293％，且满足强度条件。
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| 关 键 词： | 蒸发器支座 BP神经网络 改进遗传算法 结构优化 |
Optimum Design of Support Brackets of Evaporators based on BP Neural Network and Improved Genetic Algorithm |
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| WANG Weigang,LONG Fei.Optimum Design of Support Brackets of Evaporators based on BP Neural Network and Improved Genetic Algorithm[J].Chemical Engineering & Machinery,2009,36(4):317-322,325. |
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| Authors: | WANG Weigang LONG Fei |
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| Affiliation: | Daqing Petroleum Institute;Daqing;163318;Heilongjiang;China |
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| Abstract: | The optimum structure parameters were selected using significance analysis,the sample data of neural network were determined using orthogonal testing method and finite element method,the artificial neura1 network mode1 which reflected the structure features was established to provide fitness function for genetic algorithm,the function optimization was conducted using improved genetic algorithm.The results of comparison and analysis show that the volume of optimum structure decreased by 19.9%,and the bucklin... |
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| Keywords: | Support Bracket of Evaporator BP Neural Network Improved Genetic Algorithm Structure Optimization |
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