| 应用模糊神经网络综合评定混凝土强度 |
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| 引用本文： | 张苑竹,金伟良.应用模糊神经网络综合评定混凝土强度[J].科技通报,2006,22(5):666-670. |
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| 作者姓名： | 张苑竹 金伟良 |
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| 作者单位： | 1. 浙江大学城市学院,土木系,杭州,310015
2. 浙江大学,土木系,杭州,310027 |
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| 基金项目： | 浙江大学校科研和教改项目 |
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| 摘 要： | 钻芯和回弹是两种常用的混凝土测强方法。为了充分利用这两种测强手段的特点，本文将模糊神经网络应用到混凝土强度综合评定中。由于模糊神经网络具有很强的自学习、泛化和模糊逻辑推理功能，它可以有效地映射出钻芯、回弹数据间复杂的非线性关系。通过对试验数据的仿真计算，其强度预测精度高于常规的综合方法．
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| 关 键 词： | 自适应模糊神经网络 混凝土 强度 |
| 文章编号： | 1001-7119（2006）05-0666-05 |
| 收稿时间： | 2005-08-09 |
| 修稿时间： | 2005年8月9日 |
Integrated Assessment on Concrete Strength by Fuzzy Neural Networks |
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| ZHANG Yuan-zhu,JIN Wei-liang.Integrated Assessment on Concrete Strength by Fuzzy Neural Networks[J].Bulletin of Science and Technology,2006,22(5):666-670. |
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| Authors: | ZHANG Yuan-zhu JIN Wei-liang |
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| Institution: | 1 Department of Civil Engineering, Zhejiang University City College, Hangzhou 310005, China; 2. Department of Civil Engineering, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Drill and rebound are two common concrete strength testing methods.This paper presents an integrated evaluation approach for concrete strength using Fuzzy Neural Networks(FNN) to take full advantage of the two methods.FNN efficiently maps the complex non-linear relationship between data by drill and rebound methods for its automatic learning,generation and fuzzy logic inference.FNN simulation indicates that the predicted results are more accurate than that estimated with traditional method. |
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| Keywords: | adaptive neuro-fuzzy inference system(ANFIS) concrete strength |
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