Abstract
In this paper, neural associative memories for storing gray-scale and true color images are presented based on a class of reduced Cohen–Grossberg neural networks. Some fundamental conditions for endowing the networks with retrieval properties are proposed. Moreover, a system designing procedure is developed by using matrix decomposition. Numerical simulations show that the constructed networks can act as reliable noise-reducing systems for storing and retrieving color images.
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