title: [Artificial neural network for the identification of infrared spectra].
abstract: An Artificial Neural Network(ANN) was used to identify unknown infrared spectra. The Neural Network consisted of three layers was trained by a back-propagation algorithm. In the first step of the experiment, the training set was pure spectra information, the neural network can only identify correctly the spectra without noise or with relatively low noise, in the second step, the training set was spectra information with relatively low noise, the identification results of the test sets was better than that of the first step. The results showed that artificial neural network can be used as a powerful tool in solving classification and identification problems.
authors.affiliation: Laboratory of Advanced Spectroscopy, Nanjing University of Science and Technology, 210014 Nanjing.
authors.forename: Y
authors.initials: Y
authors.lastname: Li
authors.forename: J
authors.initials: J
authors.lastname: Wang
authors.forename: L
authors.initials: L
authors.lastname: Wang
mesh_terms: D000465:Algorithms; D016571:Neural Networks, Computer; D009930:Organic Chemicals / Q000032:analysis; D017550:Spectroscopy, Fourier Transform Infrared / Q000379:methods
chemical_list: D009930:Organic Chemicals