Analyzing results of impedance spectroscopy using novel evolutionary programming techniques
This paper discusses the application of evolutionary programming methods to the problem of analyzing impedance spectroscopy results. The basic approach is a “direct-problem” one, i.e., to find a time constant distribution function that would create similar impedance results as the measured ones, wit...
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| Veröffentlicht in: | Journal of electroceramics 2010-06, Vol.24 (4), p.245-260 |
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| container_issue | 4 |
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| container_title | Journal of electroceramics |
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| creator | Tesler, A. B. Lewin, D. R. Baltianski, S. Tsur, Y. |
| description | This paper discusses the application of evolutionary programming methods to the problem of analyzing impedance spectroscopy results. The basic approach is a “direct-problem” one, i.e., to find a time constant distribution function that would create similar impedance results as the measured ones, within experimental error. Two complementary methods have been applied and are discussed here: Genetic Algorithm (GA) and Genetic Programming (GP). A GA can be applied when a known (or desired) model exists, whereas GP can be used to create new models where the only a-priori knowledge is their smoothness and their non-negativity. GP is tuned to prefer relatively non-complex models through penalization of unnecessary complexity. |
| doi_str_mv | 10.1007/s10832-009-9565-z |
| format | Article |
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GP is tuned to prefer relatively non-complex models through penalization of unnecessary complexity.</description><subject>Ceramics</subject><subject>Characterization and Evaluation of Materials</subject><subject>Chemistry and Materials Science</subject><subject>Composites</subject><subject>Crystallography and Scattering Methods</subject><subject>Electrochemistry</subject><subject>Error analysis</subject><subject>Evolutionary algorithms</subject><subject>Genetic algorithms</subject><subject>Genetics</subject><subject>Glass</subject><subject>Impedance spectroscopy</subject><subject>Materials Science</subject><subject>Mathematical models</subject><subject>Natural Materials</subject><subject>Optical and Electronic Materials</subject><subject>Programming</subject><issn>1385-3449</issn><issn>1573-8663</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><recordid>eNp1kE1LxDAQhosouK7-AG_Fi6dovtomx2XxCxa86MlDSNPp2qVNatIu7P56UyoIgqcJzPNOZp4kuSb4jmBc3AeCBaMIY4lklmfoeJIsSFYwJPKcncY3ExlinMvz5CKEHY6g4GSRfKysbg_Hxm5TD2Fsh5C6Om26HiptDaShBzN4F4zrD-kYJs66PbQp7F07Do2z2h_S3rut1103tQcwn7b5GiFcJme1bgNc_dRl8v748LZ-RpvXp5f1aoMMJ2xAla5oLigpWaFZVZZ1aWpOTUaElprncVXBuSkhZ8AragDAAKYFNlVG80wStkxu57lxjenfQXVNMNC22oIbg5KE55kopIjkzR9y50YfDQQlCoolE4JFiMyQiXcHD7XqfdPFMxXBapKtZtkqOlSTbHWMGTpnQmTtFvzv4P9D37k3hUs</recordid><startdate>20100601</startdate><enddate>20100601</enddate><creator>Tesler, A. 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| subjects | Ceramics Characterization and Evaluation of Materials Chemistry and Materials Science Composites Crystallography and Scattering Methods Electrochemistry Error analysis Evolutionary algorithms Genetic algorithms Genetics Glass Impedance spectroscopy Materials Science Mathematical models Natural Materials Optical and Electronic Materials Programming |
| title | Analyzing results of impedance spectroscopy using novel evolutionary programming techniques |
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