Application of polynomial cellular neural networks in diagnosis of astrometric chromaticity

DOI10.1016/J.APM.2010.04.021zbMath1201.85005OpenAlexW2038901752MaRDI QIDQ611715

Angela Slavova, Rossella Cancelliere, Mario Gai

Publication date: 14 December 2010

Published in: Applied Mathematical Modelling (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.apm.2010.04.021

zbMATH Keywords

image processingdata reductionLyapunov's finite majorizing equations

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Stability of solutions to ordinary differential equations (34D20) General questions in astronomy and astrophysics (85A04) Ordinary lattice differential equations (34A33)

Related Items (1)

Novel global exponential stability criterion for recurrent neural networks with time-varying delay

Cites Work

• Dynamics and stability of generalized cellular nonlinear network model
• A comparative analysis of neural network performances in astronomical imaging
• Complex behavior of polynomial FitzHugh-Nagumo cellular neural network model
• Cellular neural networks: theory
• Unnamed Item
• Unnamed Item
• Unnamed Item

This page was built for publication: Application of polynomial cellular neural networks in diagnosis of astrometric chromaticity