title: [Application of Kohonen and BP neural networks to simultaneous determination of tungsten and molybdenum].
abstract: BP artificial neural networks combined with Kohonen networks were used for the simultaneous determination of tungsten and molybdenum by spectrophotometry. First, the topology structure of Kohonen artificial neural networks was studied, and applied to the wavelength selection of the overlapped spectra of tungsten and molybdenum. Then the most informative wavelengths were selected from the full spectra, and absorbance values were used as the optimal input sets of the three-layer BP neural networks. Compared with the routine method of wavelength selection, the results prove that using Kohonen networks to select the most informative wavelengths can optimize the input layer of BP-ANN, and the prediction ability of BP-ANN is improved. So Kohonen networks can be used as a tool for wavelength selection.
authors.affiliation: College of Science, Laiyang Agricultural University, Qingdao 266109, China.
authors.forename: Jin-ping
authors.initials: JP
authors.lastname: Wang
authors.forename: Xiao-bo
authors.initials: XB
authors.lastname: Sun
authors.forename: Jing-hui
authors.initials: JH
authors.lastname: Li
authors.forename: Li-rang
authors.initials: LR
authors.lastname: Gao
authors.forename: Chun-ji
authors.initials: CJ
authors.lastname: Niu