| 粉煤灰混凝土强度优化设计 |
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| 引用本文： | 张纯禹,李启令. 粉煤灰混凝土强度优化设计[J]. 同济大学学报(自然科学版), 2003, 31(4): 456-459 |
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| 作者姓名： | 张纯禹 李启令 |
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| 作者单位： | 同济大学,材料科学与工程学院,上海,200092 |
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| 摘 要： | 综合利用主成份降维技术、人工神经网络技术和遗传算法技术 ,在粉煤灰高强混凝土的强度和 3个影响因素之间建立神经网络模型 ,然后应用遗传算法搜索最高抗压强度和相应的配方 .结果表明 :现代优化算法在分析已有实验数据、总结其中的数值规律、进而对材料进行优化设计等方面 ,具有重要的应用价值
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| 关 键 词： | 粉煤灰混凝土 强度预测 优化算法 主成份分析 神经网络 遗传算法 最优化设计 |
| 文章编号： | 0253-374X(2003)04-0456-04 |
| 修稿时间： | 2002-05-08 |
Optimization Algorithms to Optimize the Strength of Fly Ash Concrete |
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| ZHANG Chun-yu,LI Qi-ling. Optimization Algorithms to Optimize the Strength of Fly Ash Concrete[J]. Journal of Tongji University(Natural Science), 2003, 31(4): 456-459 |
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| Authors: | ZHANG Chun-yu LI Qi-ling |
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| Abstract: | To increase the properties of fly ash concrete,following the brief introduction of three important modern optimization algorithms,we use the principal component analysis techniques,artificial neural network and genetic algorithm to build a neural network model between the strength of fly ash concrete and three relevant factors.Then genetic algorithm is applied to search the highest strength and the proportion.The result shows that to optimize the properties of material,modern optimization algorithms have wide applications in analyzing already known data to find the hidden digital law. |
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| Keywords: | fly ash concrete strength forecast optimization algorithm principal component analysis neural network genetic algorithm optimized design |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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