中南大学学报（自然科学版）2013，Vol.44Issue(1)：202-207,6.
基于模糊最小二乘支持向量机的火灾信号辨识
Fire disaster signal recognition based on fuzzy least squares support vector machines
摘要
Abstract
Due to the fuzzy identity of characteristic parameters for fire disaster signal, a new model of fuzzy least squares support vector machine signal recognition of fire disaster was developed based on chaos genetic algorithm, in which the parameters of fuzzy least squares support vector machines were optimized by using chaos quantum genetic algorithm. The results show that the recognition relative error of fire disaster signal recognition model is 1.1 %, and it has high accuracy. The weight of capability indexes γ1—γ5 for fire disaster signal recognition can be expressed as follows: Flue gas concentration γ3> temperature γ4>CO concentration γ5>O2 concentration γ1>H2 concentration y2.关键词
混沌量子遗传算法/模糊最小二乘支持向量机/火灾辨识Key words
chaos quantum genetic algorithm/ fuzzy least squares support vector machines/ fire disaster recognition分类
资源环境引用本文复制引用
王志强,李立君,黄雁,左青松,钱承,粟键鑫..基于模糊最小二乘支持向量机的火灾信号辨识[J].中南大学学报（自然科学版）,2013,44(1):202-207,6.基金项目
国家自然科学基金资助项目(51176045,61274026) （51176045,61274026）
湖南省教育厅项目(12C00123) （12C00123）
