| 模糊自动机在电磁波识别中的应用 |
| |
| 引用本文： | 吴青娥,舒兰. 模糊自动机在电磁波识别中的应用[J]. 电子科技大学学报(自然科学版), 2005, 34(6): 798-801 |
| |
| 作者姓名： | 吴青娥 舒兰 |
| |
| 作者单位： | 1.电子科技大学应用数学学院 成都 610054 |
| |
| 摘 要： | 研制了一个模糊处理和神经网络相结合的自动机,使用模糊技术从未处理的电磁信号波纹图像中处理模糊几何特征属性,进行波纹分类与识别。当使用模糊自动机(FA)进行识别紊乱波纹时,这些模糊几何特征是最好的。而对这些模糊几何特征的辨识,使用FA是很好的。
|
| 关 键 词： | 模糊神经网络自动机 重叠信号波纹 模式识别 模糊几何特征 |
| 收稿时间： | 2004-04-29 |
| 修稿时间： | 2004-04-29 |
Application of Fuzzy Automata to Electromagnetic Wave Recognition |
| |
| WU Qing-e,SHU Lan. Application of Fuzzy Automata to Electromagnetic Wave Recognition[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(6): 798-801 |
| |
| Authors: | WU Qing-e SHU Lan |
| |
| Affiliation: | 1.School of Applied Mathematics,UEST of China Chengdu 610054 |
| |
| Abstract: | In this paper, the automaton that is to base on the combination of fuzzy processing and neural network is constructed successfully. At the same time, fuzzy geometrical features are processed by using fuzzy technology from images of unprocessed electromagnetic wave (simplifying wave of signal), and the wave of signal is classified and recognized. The fuzzy geometrical features are found to be the best for recognizing distorted overlapping waves of signal when Fuzzy Automata (FA) are used. The overall performance is best of FA. |
| |
| Keywords: | fuzzy neural network automata overlapping waves of signal pattern recognition fuzzy geometrical features |
| 本文献已被 维普 万方数据 等数据库收录！ |
| 点击此处可从《电子科技大学学报(自然科学版)》浏览原始摘要信息 |
|
点击此处可从《电子科技大学学报(自然科学版)》下载全文 |
