{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,4,14]],"date-time":"2024-04-14T02:40:59Z","timestamp":1713062459941},"reference-count":15,"publisher":"World Scientific Pub Co Pte Ltd","issue":"03","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Adv. Adapt. Data Anal."],"published-print":{"date-parts":[[2011,7]]},"abstract":"<jats:p>Although Neural Networks have proliferated for spectroscopic data interpretation, this paper shows, with simple ideas and well-known examples that they are not well suited for this kind of analysis. This conclusion can be understood after we demonstrate that spectroscopic results are absolutely equivalent, from a statistical point of view, to a sequence of statistically independent events. Stochastic independent events, like a dice throw or a coin tossing, cannot be better described than by a purely statistical method. This conclusion remains unchanged independently if the results are linear or not with respect to some parameters of the studied system, as is depicted in this work. If a method performs better than statistical methods for spectral analysis, it could be understood that it is violating the causality principle. As a representative example, it is described the particle transport equation (Boltzmann's Equation) solved by Monte Carlo methods, with which we can simulate a general spectroscopic technique. Also are described the Total Reflection X-ray Fluorescence and the Neutron Activation Analysis Techniques. In none of these systems it would be expected that Neural Networks perform better than statistical methods for spectral analysis.<\/jats:p>","DOI":"10.1142\/s1793536911000854","type":"journal-article","created":{"date-parts":[[2011,10,24]],"date-time":"2011-10-24T09:37:59Z","timestamp":1319449079000},"page":"351-361","source":"Crossref","is-referenced-by-count":1,"title":["CONSIDERATIONS ABOUT THE NEURAL NETWORK APPROACH FOR ATOMIC AND NUCLEAR SPECTRAL ANALYSIS"],"prefix":"10.1142","volume":"03","author":[{"given":"L.","family":"BENNUN","sequence":"first","affiliation":[{"name":"Laboratorio de F\u00edsica Aplicada, Departamento de F\u00edsica, Universidad de Concepci\u00f3n, Concepci\u00f3n, Chile"}]}],"member":"219","published-online":{"date-parts":[[2012,4,5]]},"reference":[{"key":"rf1","volume-title":"Activation Analysis, Volumes I and II","author":"Alfassi Z. 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