laser induced fluorescence analysis 激光诱导荧光分析
The result of testing shows that PCA laser fluorescence spectra data analysis identification model can identify spill oil effectively.
测试实验得出，PCA激光荧光光谱分析识别模型能够有效地识别溢油。
The result also shows that RBF neural network laser fluorescence spectra data analysis identification model get the best perform in velocity, the average training time is 5.547 seconds.
神经网络方面，RBF神经网络激光荧光光谱分析识别模型的速度最快，平均训练时间为5.547秒。
To study the application of capillary electrophoresis and Laser-induced fluorescence in single-protoplast analysis in order to analyze amino acids in wheat embryonal cell.
研究毛细管电泳单细胞分析技术和激光诱导荧光检测技术在植物细胞单细胞分析中的应用，实现单个小麦胚性细胞内氨基酸的分析。
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