| 人工神经网络在火灾探测中的应用 |
| |
| 引用本文： | 夏太武,彭京华.人工神经网络在火灾探测中的应用[J].河北工业大学成人教育学院学报,2006,21(2):28-31,12. |
| |
| 作者姓名： | 夏太武 彭京华 |
| |
| 作者单位： | 1. 湖南邵阳学院信息与电气工程系,邵阳,422000
2. 湖南长沙高新区湘华科技信息公司,长沙,4100011 |
| |
| 摘 要： | 火灾的早期探测是较为复杂且具有重要意义的研究课题。针对传统火灾探测方法存在的不足,提出了一种基于人工神经网络技术的火灾自动探测系统,即采用黄金分割优选法对网络隐含层节点数进行优选,采用优于BP算法的LM算法进行网络学习训练。实验结果表明不仅这种系统具有拟合精度高和运算速度快等优点,且探测效率良好。
|
| 关 键 词： | 火灾探测 人工神经网络 黄金分割法 LM算法 |
| 文章编号： | 1008-911X(2006)02-0028-05 |
| 修稿时间： | 2006年2月13日 |
The Application of Artificial Neural Networks in Fire Detection |
| |
| XIA Tai-wu,PENG Jing-hua.The Application of Artificial Neural Networks in Fire Detection[J].Journal of Adult Education School of Hebei University of Technology,2006,21(2):28-31,12. |
| |
| Authors: | XIA Tai-wu PENG Jing-hua |
| |
| Abstract: | The detection of fire is complex and significant in its early age. In this paper, to solve the problems of historic fire detection, a new method for fire detection based on Artificial Neural Networks(ANN) is presented, which includes the method of golden section applied on the optimization of the hidden layer nodes and the better LM algorithm compared to BP algorithm. The results of computer simulation shows that this system possesses the merits of high precision in sample fitting and calculation speed, it is an efficient method in fire detection. |
| |
| Keywords: | Fire detection Artificial neural networks Golden Section LM Algorithm |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
|
