|
|||||
|
|
| 混凝土强度无损检测数据处理的混沌优化神经网络模型 | |
| 引用本文： | 史承明,林维正,张陵. 混凝土强度无损检测数据处理的混沌优化神经网络模型[J]. 无损检测, 2006, 28(3): 123-126 |
| 作者姓名： | 史承明 林维正 张陵 |
| 作者单位： | 1. 上海宝钢集团,房屋质量检测站,上海,201900 2. 同济大学,上海,200092 3. 西安交通大学,陕西,西安,710049 |
| 摘 要： | 依据混凝土标准试块强度检测数据，建立了混沌优化的神经网络计算模型，从而克服传统BP网络收敛速度慢、易出现麻痹现象等不足。与混凝土无损检测现行规程规定的方法相比较，谊计算模型简单可行，搜索速度快，预测结果可靠、精度高。 |
| 关 键 词： | 超声检测 混凝土强度 信号处理 神经网络 |
| 文章编号： | 1000-6656（2006）03-0123-04 |
| 收稿时间： | 2005-01-20 |
| 修稿时间： | 2005-01-20 |
Chaos Optimum and Neural Network Model for Data Processing in Nondestructive Testing of Concrete Intensity |
|
| SHI Cheng-ming,LIN Wei-zheng,ZHANG Ling. Chaos Optimum and Neural Network Model for Data Processing in Nondestructive Testing of Concrete Intensity[J]. Nondestructive Testing, 2006, 28(3): 123-126 | |
| Authors: | SHI Cheng-ming LIN Wei-zheng ZHANG Ling |
| Affiliation: | Building Quality Checkpoint of Shanghai Baosteel Group, Shanghai 201900, China |
| Abstract: | A chaos optimum and neural network calculation model was built based on plenty of testing data of concrete intensity to cover the shortage of single BP neural network, such as slow astringency and easy torpidity. Compared with the algorithm stipulated in the current concrete nondestructive testing regulation, the model built was more simple and rapid for operation and higher in precision and reliability. |
| Keywords: | Ultrasonic testing Concrete intensity Signal processing Neural network |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ | |