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首页> 外文期刊>Journal of Environmental Science and Health. A, Toxic/Hazardous Substances & Environmental Engineering >Using Genetic Algorithm to Identify Completely Unknown System in FTIR Spectra Analysis
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Using Genetic Algorithm to Identify Completely Unknown System in FTIR Spectra Analysis

机译：FTIR光谱分析中使用遗传算法识别完全未知的系统

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The article mainly focuses on how to identify completely unknown systems in FTIR spectra analysis by Genetic Algorithm (GA). The technique of multiplespot crossover combined with quantitative and adaptive mutation is used and the whole process is controlled by the fitness value and probability of selection in GA. A standard pure FTIR spectra database containing 101 air toxic organic compounds is set up. Six unknown samples are identified and quantitatively analyzed. The results indicate that GA can successfully identify even a perplexing sample containing 18 components. The concentration of each component in the samples can be determined at the same time. The maximal relative error is no more than 10%. It means that GA has the capability of simultaneous identification and prediction, especially for those completely unknown mixed spectra in FTIR.
机译：本文主要关注如何通过遗传算法（GA）在FTIR光谱分析中识别完全未知的系统。采用多点交叉结合定量和自适应变异的技术，整个过程由遗传算法的适应度值和选择概率控制。建立了包含101种空气有毒有机化合物的标准纯FTIR光谱数据库。确定了六个未知样品并进行了定量分析。结果表明，GA甚至可以成功鉴定出包含18个成分的复杂样品。可以同时测定样品中每种成分的浓度。最大相对误差不超过10％。这意味着GA具有同时识别和预测的能力，尤其是对于FTIR中完全未知的混合光谱。

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