Neural Network Approaches to Solution of the Inverse Problem of Identification and Determination of Partial Concentrations of Salts in Multi-сomponent Water Solutionsстатья
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Дата последнего поиска статьи во внешних источниках: 16 декабря 2016 г.
Аннотация:The studied inverse problem is determination of partial concentrations
of inorganic salts in multi-component water solutions by their Raman
spectra. The problem is naturally divided into two parts: 1) determination of the
component composition of the solution, i.e. which salts are present and which
not; 2) determination of the partial concentration of each of the salts present in
the solution. Within the first approach, both parts of the problem are solved
simultaneously, with a single neural network (perceptron) with several outputs,
each of them estimating the concentration of the corresponding salt. The second
approach uses data clusterization by Kohonen networks for consequent identification
of component composition of the solution by the cluster, which the spectrum
of this solution falls into. Both approaches and their results are discussed
in this paper.