Multilayer perceptron as the primary instrument for image clustering
A multilayer perceptron as an instrument of the primary analysis of the image, in particular, its application to search for regions of interest or clusterization is described. Various implementations of training procedures to receive a minimum structure of a net, select size of areas effectively and...
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| Datum: | 2016 |
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| Hauptverfasser: | , |
| Format: | Artikel |
| Sprache: | Ukrainian |
| Veröffentlicht: |
Інститут проблем реєстрації інформації НАН України
2016
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| Schlagworte: | |
| Online Zugang: | http://drsp.ipri.kiev.ua/article/view/104130 |
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| Назва журналу: | Data Recording, Storage & Processing |
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Data Recording, Storage & Processing| Zusammenfassung: | A multilayer perceptron as an instrument of the primary analysis of the image, in particular, its application to search for regions of interest or clusterization is described. Various implementations of training procedures to receive a minimum structure of a net, select size of areas effectively and choose the step size between the regions are considered. Coefficient for comparison of matrixes with class labels is proposed, examples of its usage are shown. Experimental investigations have confirmed the effectiveness of the proposed methods. |
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