NeuroSpectraNet - a self-organising neural network mechanism for interpretation of complex SSIMS spectra
Oluwatoyin Sanni, Alex Henderson, David A. Briggs, J. C. Vickerman · Research Explorer (The University of Manchester) · 2000
Interpretation of SSIMS spectra requires a great deal of experience and costly expertise. Human experts often support their knowledge by searching a library of known spectra for a suitable match to the unknown spectrum in a process that can be very tedious, time-consuming and uneconomic for industrial surface analysis. To make the power of SSIMS more widely and easily accessible to R&D and Quality Control laboratories, an intelligent automated search engine capable of recognising and classifying SSIMS spectral patterns is required to enhance rapid and efficient interpretation of spectra.