Neural Network Approach to Study of Langmuir Layers at the Water Surface

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dc.creatorFilimonov, A. V.
dc.creatorValkova, L. A.
dc.creatorOsoskov, G. A.
dc.date2004-01-09
dc.date2004-05-11
dc.date.accessioned2026-07-07T05:50:53Z
dc.date.available2026-07-07T05:50:53Z
dc.descriptionThe structure of the layers of a phthalocyanines is studied through a measurement of surface pressure-area isotherms at various initial surface concentrations of the spreaded compound. Layer characteristics are determined from experimental data by replotting the isotherms in accordance with M. Volmer s equation. Neural networks taught on approximations of the isoterms. The method is compared with the traditional least square one. Another task for NN is a forecast of main characteristics of the layers.
dc.identifierhttps://arxiv.org/abs/physics/0401038
dc.identifierhttp://arxiv.org/abs/physics/0401038
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/85854
dc.subjectChemical Physics
dc.titleNeural Network Approach to Study of Langmuir Layers at the Water Surface
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