title: [Library search of UV spectra of organic environmental pollutants based on neural network].
abstract: The effects of optimization of network parameters, noise, and impurity on the network were investigated detailedly. To speed up the convergence of the network and enhance the resolution of the library search of UV spectra, the derivative spectra for BP-ANN library search was proposed. The method has a higher tolerance to noise and impurity levels than using ordinary UV spectra, especially to slop background levels. Finally, the resolutions of library search of UV spectra with ANN with optimized parameters were compared with conventional correlation coefficient method. Results showed that the ANN is superior to conventional correlation coefficient method and is an effective method for library search of UV spectra.
authors.affiliation: Department of Chemistry, Resource Environment and GIS Key Lab of Beijing, Capital Normal University, Beijing 100037, China.
authors.forename: Feng-Xia
authors.initials: FX
authors.lastname: Wang
authors.forename: Zhuo-Yong
authors.initials: ZY
authors.lastname: Zhang
authors.forename: Ya-Min
authors.initials: YM
authors.lastname: Wang