%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 }