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

A. V. Filimonov; L. A. Valkova; G. A. Ososkov

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

A. V. Filimonov·L. A. Valkova·G. A. Ososkov

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Abstract

The 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.

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A. V. Filimonov, L. A. Valkova, G. A. Ososkov. 2004-05-11. Neural Network Approach to Study of Langmuir Layers at the Water Surface. https://arxiv.org/abs/physics/0401038

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