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 of testing shows that PCA laser fluorescence spectra data analysis identification model can identify spill oil effectively.
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。
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。
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.
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