Search with artificial neural networks

Woodruff and co-workers introduced the expert system PAIRS [67], a program that is able to analyze IR spectra in the same manner as a spectroscopist would. Chalmers and co-workers [68] used an approach for automated interpretation of Fourier Transform Raman spectra of complex polymers. Andreev and Argirov developed the expert system EXPIRS [69] for the interpretation of IR spectra. EXPIRS provides a hierarchical organization of the characteristic groups that are recognized by peak detection in discrete ames. Penchev et al. [70] recently introduced a computer system that performs searches in spectral libraries and systematic analysis of mixture spectra. It is able to classify IR spectra with the aid of linear discriminant analysis, artificial neural networks, and the method of fe-nearest neighbors. 

Fig. 4 Different chemometric tools used in the development of BioETs clear bars) in comparison with those mostly used for generic ET systems dark bars). PCA principal component analysis, LDA linear discriminant analysis, ANN artificial neural network, PLS partial least squares, PCR. principal component regression, k-NN k-nearest neighbours, MCR multiple component regression. Data obtained from the literature search on the period 1996-2015 using SCOPUS database (Elsevier)...

---