| 基于遗传优化神经网络的电子鼻对可乐的检测 |
| |
| 引用本文： | 鲁小利,王俊,海铮.基于遗传优化神经网络的电子鼻对可乐的检测[J].传感技术学报,2007,20(6):1211-1214. |
| |
| 作者姓名： | 鲁小利 王俊 海铮 |
| |
| 作者单位： | 浙江大学生物系统工程与食品科学学院,杭州,310029;廊坊师范学院生命科学院,河北,廊坊,065000 |
| |
| 基金项目： | 国家自然科学基金，教育部跨世纪优秀人才培养计划 |
| |
| 摘 要： | 采用遗传学习算法和误差反向传播(BP)算法相结合的混合算法来训练前馈人工神经网络,从而提高神经网络的收敛质量和收敛速度,并将此算法运用到电子鼻对可乐的检测上.与经典BP网络及附加动量项BP网络的训练与预测进行了比较,结果显示:遗传优化BP算法具有预测精度高、收敛速度快及运行时间短的优点,是一种快速、可靠的方法.
|
| 关 键 词： | 可乐 电子鼻 BP神经网络 遗传算法 |
| 文章编号： | 1004-1699（2007）06-1200-04 |
| 收稿时间： | 2006-08-24 |
| 修稿时间： | 2006-08-242006-12-11 |
Detection of Cola Using Electronic Nose Based on GA-BP Network |
| |
| LU Xiao-li,WANG Jun,HAI Zheng.Detection of Cola Using Electronic Nose Based on GA-BP Network[J].Journal of Transduction Technology,2007,20(6):1211-1214. |
| |
| Authors: | LU Xiao-li WANG Jun HAI Zheng |
| |
| Affiliation: | 1 College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310029, China;2. Biology Science Institute Langfang Normal College, Langfang Hebei 065000, China |
| |
| Abstract: | The combination of genetic algorithm and back propagation algorithm for training the neural network is described. It can improve the search efficiency and realize global optimization, and this GA-BP algorithm is employed to detect the cola by electronic nose. Compared with the standard back propagation algorithm and its improved method, the result shows the GA-BP algorithm has good prediction precision, high convergent speed and less running time, and it is a fast and credible method. |
| |
| Keywords: | cola electronic nose BP neural network genetic algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
| 点击此处可从《传感技术学报》浏览原始摘要信息 |
|
点击此处可从《传感技术学报》下载全文 |
|
