DocumentCode
337395
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
fYear
1998
fDate
9-12 Aug 1998
Firstpage
322
Lastpage
325
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits and Systems, 1998. Proceedings. 1998 Midwest Symposium on
Conference_Location
Notre Dame, IN
Print_ISBN
0-8186-8914-5
Type
conf
DOI
10.1109/MWSCAS.1998.759497
Filename
759497
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