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Optimization of artificial neural network structure in the case of steganalysis

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Title: Optimization of artificial neural network structure in the case of steganalysis
Author: Komínková Oplatková, Zuzana; Hološka, Jiří; Procházka, Michal; Šenkeřík, Roman; Jašek, Roman
Document type: Peer-reviewed article (English)
Source document: Intelligent Systems Reference Library. 2013, vol. 38, p. 821-843
ISSN: 1868-4394 (Sherpa/RoMEO, JCR)
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ISBN: 978-3-642-30503-0
DOI: https://doi.org/10.1007/978-3-642-30504-7_32
Abstract: This research introduces a method of steganalysis by means of neural networks and its structure optimization. The main aim is to explain the approach of revealing a hidden content in jpeg files by feed forward neural network with Levenberg-Marquardt training algorithm. This work is also concerned to description of data mining techniques for structure optimization of used neural network. The results showed almost 100% success of detection. © Springer-Verlag Berlin Heidelberg 2013.
Full text: https://link.springer.com/chapter/10.1007/978-3-642-30504-7_32
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Citace článku v časopise:
KOMÍNKOVÁ OPLATKOVÁ, Zuzana, Jiří HOLOŠKA, Michal PROCHÁZKA, Roman ŠENKEŘÍK a Roman JAŠEK. Optimization of artificial neural network structure in the case of steganalysis. Intelligent Systems Reference Library [online]. 2013, vol. 38, s. 821-843. [cit. 2026-09-14]. ISSN 1868-4394. Dostupné z: https://link.springer.com/chapter/10.1007/978-3-642-30504-7_32.

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