NeuroSpectraNet - a self-organising neural network mechanism for interpretation of complex SSIMS spectra

Autor: Sanni, O. D., Alex Henderson, Briggs, D., Vickerman, J. C.

Publikováno v: Sanni, O D, Henderson, A, Briggs, D & Vickerman, J C 2000, NeuroSpectraNet-a self-organising neural network mechanism for interpretation of complex SSIMS spectra . in Second. Ion Mass Spectrom., SIMS XII, Proc. Int. Conf., 12th . pp. 805-808 . < http://www.manchester.ac.uk/sarc/publications/neurospectranet.pdf >
University of Manchester-PURE

NeuroSpectraNet demonstrated that neural processing power can be harnessed for anal. of SSIMS spectra. If a spectrum similar to an unknown exist in NeuroSpectraNet's database, it would efficiently and correctly identify the unknown in a matter of sec

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::6102fd981984d74eef3984c1083f1610
http://www.manchester.ac.uk/escholar/uk-ac-man-scw:132614