| 基于遗传算法优化的模糊神经网络在智能楼宇火灾探测中的应用 |
| |
| 引用本文： | 张丽杰,陈抗生.基于遗传算法优化的模糊神经网络在智能楼宇火灾探测中的应用[J].长春理工大学学报,2008,31(2):108-111. |
| |
| 作者姓名： | 张丽杰 陈抗生 |
| |
| 作者单位： | 浙江大学信息科学与工程学院,杭州,310027;浙江大学信息科学与工程学院,杭州,310027 |
| |
| 摘 要： | 针对火灾报警系统中存在的漏报、误报问题.提出了基于遗传算法优化的模糊神经网络信息处理方法对火灾信号进行识别.以提高系统报警准确率,降低漏报率.该算法通过仿真实验.结果表明报警的准确率有明显提高;同时,优化后的网络可靠性和泛化能力亦有所提高.这一方法为实现火灾发生时的及早报警和对非火灾信号的准确识别,提供一种新的火灾信号智能识别方法.
|
| 关 键 词： | 遗传算法 模糊神经网络 优化 火灾探测 识别 |
| 文章编号： | 1672-9870(2008)02-0108-04 |
| 修稿时间： | 2007年12月15 |
Fuzzy Neural Networks Appling Based on Genetic Algorithms opti- mized in Fire Detection of Intelligent Architecture |
| |
| ZHANG Lijie,CHEN Kangshen.Fuzzy Neural Networks Appling Based on Genetic Algorithms opti- mized in Fire Detection of Intelligent Architecture[J].Journal of Changchun University of Science and Technology,2008,31(2):108-111. |
| |
| Authors: | ZHANG Lijie CHEN Kangshen |
| |
| Affiliation: | ZHANG Lijie,CHEN Kangshen(College of Information Science , Engineering,Zhejiang University,Hangzhou 310027) |
| |
| Abstract: | This paper proposes the fire detection algorithms based on GA optimum fuzzy neural networks information pro-cessing Algorithms.so as to put up accurately ratio of alarm and lower false alarm.Simulation and experimental results indi-cate that the algorithm is effective to put up accurately ratio of alarm;Simultaneous reliability and adequate of networks are all improved.This algorithm propound a new way on fire information identification which achieve the most early alarm and no-fire information accurately i... |
| |
| Keywords: | genetic algorithm fuzzy neural networks optimum fire detection identification |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
