Improvement of image processing by using homogeneous neural networks with fractional derivatives theorem

zbMath1305.68191MaRDI QIDQ2257858

Zbigniew Gomolka, Jacek Bartman, Boguslaw Twarog

Publication date: 2 March 2015

Published in: Discrete and Continuous Dynamical Systems (Search for Journal in Brave)

Full work available at URL: http://aimsciences.org/journals/displayPaperPro.jsp?paperID=7028

zbMATH Keywords

fractional derivativehomogeneous neural networkinterferometry image

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Machine vision and scene understanding (68T45)

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