【摘要】 针对当前用于分析瓦斯浓度数据的高斯寻峰算法存在较大误差现象,采用量子粒子群算法,对非均匀采集到的瓦斯浓度数据进行优化。经过实验,得出了量子粒子群算法的瓦斯浓度检测结果比粒子群算法的检测结果精度更高、误差更小,检测速度更快的结论,表明量子粒子群算法在瓦斯浓度检测中有一定的应用价值。更多还原

【Abstract】 There is a big error that Gaussian peak searching algorithm in the analysis of the methane concentration data. Using a quantum particle swarm optimization for non-uniform data collection to optimize methane concentration. After the experiment, compared with the particle swarm optimization,the quantum particle swarm optimization in gas concentration detection result in higher accuracy, the error is smaller, faster detection. The quantum particle swarm optimization has some value in the detection of the gas concentration.更多还原