Abstract
The applications of neural associative memories in image retrieval are studied based on a class of reduced Cohen-Grossberg neural networks and continuous-time Hopfield network. Numerical simulations show that the designed networks can perform as efficient noise-reducing systems.
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© 2012 Springer-Verlag GmbH Berlin Heidelberg
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Tu, L., Liao, Z., Zhang, C. (2012). Application of Hopfield Network in Grayscale Image Recognition. In: Xie, A., Huang, X. (eds) Advances in Computer Science and Education. Advances in Intelligent and Soft Computing, vol 140. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-27945-4_26
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DOI: https://doi.org/10.1007/978-3-642-27945-4_26
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-27944-7
Online ISBN: 978-3-642-27945-4
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