Library search for UV spectra is more difficult than that for infrared (IR) spectra, because the UV spectra overlap more severely than IR spectra.

紫外光谱的库检索比红外光谱检索更困难，因为紫外光谱的重叠更为严重。

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Results showed that the ANN is superior to conventional correlation coefficient method and is an effective method for library search of UV spectra.

结果表明，优化参数下的人工神经网络的库检索法在抗噪、容杂等方面都明显地优于普通的相关系数法，是一种很有效的紫外库检索方法。

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