| 人工神经网络在碳/环氧复合材料声发射检测中的应用 |
| |
| 引用本文： | 刘怀喜,张恒,闫耀辰. 人工神经网络在碳/环氧复合材料声发射检测中的应用[J]. 无损检测, 2004, 26(12): 628-632 |
| |
| 作者姓名： | 刘怀喜 张恒 闫耀辰 |
| |
| 作者单位： | 1. 武汉理工大学博士生
2. 郑州大学,机械学院,郑州,450052 |
| |
| 基金项目： | 国家自然科学基金资助项目(19972063) |
| |
| 摘 要： | 介绍了人工神经网络技术的基本概念、BP网络的基本结构和原理等。通过实验证明，选择合理的神经网络结构、建立有效的训练样本集、确定合理的参数及训练方法，就能在声发射检测中用神经网络方法对碳／环氧复合材料的各种类型损伤进行正确的识别。
|
| 关 键 词： | 人工神经网络 声发射检测 复合材料 |
| 文章编号： | 1000-6656(2004)12-0628-05 |
| 修稿时间： | 2003-12-01 |
THE DAMAGE-TYPE RECOGNITION OF C/EPOXY COMPOSITE USING ARTIFICIAL NEURAL NETWORK IN ACOUSTIC EMISSION TESTING |
| |
| LIU Huai-xi,ZHANG Heng,YAN Yao-chen. THE DAMAGE-TYPE RECOGNITION OF C/EPOXY COMPOSITE USING ARTIFICIAL NEURAL NETWORK IN ACOUSTIC EMISSION TESTING[J]. Nondestructive Testing, 2004, 26(12): 628-632 |
| |
| Authors: | LIU Huai-xi ZHANG Heng YAN Yao-chen |
| |
| Abstract: | The basis of artificial neural network technology and Error Back Propagation(BP) network structure and its principle were introduced in this paper. It was proved by experiment that the damage-type of C/epoxy composite can be recognized by artificial neural network in acoustic emission testing if reasonable neural network was chosen, efficient train-sample collection was constructed, reasonable parameter and train means were decided. |
| |
| Keywords: | Artificial neural network Acoustic emission Composite |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
