Title :
Self-consistent analysis of nuclear gamma resonance and its industrial applications
Author :
De Souza, Paulo A., Jr. ; Rodrigues, O.D. ; Lamego, M.M. ; Garg, V.K.
Author_Institution :
Dept. de Fisica, Univ. Fed. do Espirito Santo, Vitoria, Brazil
Abstract :
The present paper reviews the main progress in automation of Mossbauer spectroscopy data analysis by using genetic algorithms, fuzzy logic, and artificial neural networks. Tests were carried out and the results of several applications are presented and discussed
Keywords :
Mossbauer spectroscopy; air pollution measurement; fuzzy logic; genetic algorithms; neural nets; quality control; spectroscopy computing; Mossbauer spectroscopy data analysis; artificial neural networks; fuzzy logic; genetic algorithms; industrial applications; nuclear gamma resonance; self-consistent analysis; Algorithm design and analysis; Artificial neural networks; Genetic algorithms; Logic; Magnetic analysis; Magnetic fields; Pattern analysis; Resonance; Spectroscopy; Temperature;
Conference_Titel :
Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on
Conference_Location :
Notre Dame, IN
Print_ISBN :
0-8186-8914-5
DOI :
10.1109/MWSCAS.1998.759497
