| 混凝土强度的分阶段进化神经网络方法的预测 |
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| 引用本文： | 孟宏睿. 混凝土强度的分阶段进化神经网络方法的预测[J]. 陕西理工学院学报(自然科学版), 2004, 20(3): 50-52 |
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| 作者姓名： | 孟宏睿 |
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| 作者单位： | 陕西理工学院,土木工程与建筑系,陕西,汉中,723003 |
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| 摘 要： | 早期获得混凝土28d抗压强度值,对提高工程质量和加快施工速度具有非常重要的作用。本文在国内外早期推定混凝土强度方法的基础上,提出了用分阶段进化神经网络的方法来预测预拌混凝土的强度,从而可以减少网络训练的时间,加快算法的收敛速度,简化网络结构。
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| 关 键 词： | 混凝土 强度 预测 进化神经网络 |
| 文章编号： | 1002-3410(2004)03-0050-03 |
| 修稿时间： | 2004-04-27 |
Prediction of concrete compression strength based on novel evolutionary neural networks |
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| MENG Hong-rui. Prediction of concrete compression strength based on novel evolutionary neural networks[J]. Journal of Shananxi University of Technology(Natural Science Edition), 2004, 20(3): 50-52 |
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| Authors: | MENG Hong-rui |
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| Abstract: | It has an important significance to improve the quality of engineering project and to speed up the progress of construction, that the 28-day compression strength value of concrete is realized earlier than planned time. In this paper, on the basis of the methods for prediction of concrete strength at home and abroad in the past decades, hence, a new predication approach based the novel evolutionary artificial neural network is proposed. Using such a method, the high accuracy, high speed and simple construction of the neural network system are shown. |
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| Keywords: | concrete compression strength prediction evolutionary neural networks |
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