Automation in Mössbauer Spectroscopy Data
Analysis
P. de Souza Jr.. Laboratory Robotics and Automation, 11 (1):
3--23(1999)
Abstract
The present article reviews the main progress
in
automation of Mössbauer spectroscopy data
analysis by using genetic algorithms, fuzzy logic, and
artificial neural networks. Several tests were carried
out, and the results are presented and discussed.
%0 Journal Article
%1 souza:1999:LRA
%A de Souza Jr., Paulo A.
%D 1999
%J Laboratory Robotics and Automation
%K Mossbauer algorithms, fuzzy genetic logic, networks, neural spectroscopy
%N 1
%P 3--23
%T Automation in Mössbauer Spectroscopy Data
Analysis
%U www.interscience.wiley.com
%V 11
%X The present article reviews the main progress
in
automation of Mössbauer spectroscopy data
analysis by using genetic algorithms, fuzzy logic, and
artificial neural networks. Several tests were carried
out, and the results are presented and discussed.
@article{souza:1999:LRA,
abstract = {The present article reviews the main progress
in
automation of M{\"{o}}ssbauer spectroscopy data
analysis by using genetic algorithms, fuzzy logic, and
artificial neural networks. Several tests were carried
out, and the results are presented and discussed.},
added-at = {2008-06-19T17:46:40.000+0200},
author = {{de Souza Jr.}, Paulo A.},
biburl = {https://www.bibsonomy.org/bibtex/2f82224a20919edcc72ddb96dc8cdc85c/brazovayeye},
email = {souza@iacgu7.chemie.uni-mainz.de},
interhash = {34dcae67a63dfaa88aa9846d526ed947},
intrahash = {f82224a20919edcc72ddb96dc8cdc85c},
issn = {08957533},
journal = {Laboratory Robotics and Automation},
keywords = {Mossbauer algorithms, fuzzy genetic logic, networks, neural spectroscopy},
number = 1,
pages = {3--23},
timestamp = {2008-06-19T17:52:02.000+0200},
title = {Automation in {M}{\"{o}}ssbauer Spectroscopy Data
Analysis},
url = {www.interscience.wiley.com},
volume = 11,
year = 1999
}