Bidirectional associative memories
IEEE Transactions on Systems, Man and Cybernetics
New conditions on global stability of Cohen-Grossberg neural networks
Neural Computation
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Neural Processing Letters
A class of sparsely connected autoassociative morphological memories for large color images
IEEE Transactions on Neural Networks
A general model for bidirectional associative memories
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Complex-valued multistate neural associative memory
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Neural associative memory storing gray-coded gray-scale images
IEEE Transactions on Neural Networks
A new design method for the complex-valued multistate Hopfield associative memory
IEEE Transactions on Neural Networks
A bidirectional heteroassociative memory for binary and grey-level patterns
IEEE Transactions on Neural Networks
Gray-scale morphological associative memories
IEEE Transactions on Neural Networks
Analysis and synthesis of a class of discrete-time neural networks with multilevel threshold neurons
IEEE Transactions on Neural Networks
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Nonlinear quantization on Hebbian-type associative memories
Applied Intelligence
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
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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.