Color Characterization and Balancing by a Nonlinear Line Attractor Network for Image Enhancement
Neural Processing Letters
Nonlinear Complex-Valued Extensions of Hebbian Learning: An Essay
Neural Computation
RBF-based neurodynamic nearest neighbor classification in real pattern space
Pattern Recognition
A Design Method of Associative Memory Model with Expecting Fault-Tolerant Field
ISNN '07 Proceedings of the 4th international symposium on Neural Networks: Advances in Neural Networks, Part III
Discrete-time recurrent neural networks with complex-valued linear threshold neurons
IEEE Transactions on Circuits and Systems II: Express Briefs
IEEE Transactions on Neural Networks
A class of discrete-time recurrent neural networks with multivalued neurons
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An iterative learning scheme for multistate complex-valued and quaternionic hopfield neural networks
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
ICANN'07 Proceedings of the 17th international conference on Artificial neural networks
Color image associative memory on a class of Cohen-Grossberg networks
Pattern Recognition
Complex-valued neurons with phase-dependent activation functions
ICAISC'10 Proceedings of the 10th international conference on Artifical intelligence and soft computing: Part II
Periodic activation function and a modified learning algorithm for the multivalued neuron
IEEE Transactions on Neural Networks
Design of associative memory for gray-scale images by multilayer Hopfield neural networks
ICC'06 Proceedings of the 10th WSEAS international conference on Circuits
Multi-valued neurons: hebbian and error-correction learning
IWANN'11 Proceedings of the 11th international conference on Artificial neural networks conference on Advances in computational intelligence - Volume Part I
Fixed points of complex-valued bidirectional associative memory
Journal of Computational and Applied Mathematics
Stability analysis for higher order complex-valued hopfield neural network
ICONIP'06 Proceedings of the 13 international conference on Neural Information Processing - Volume Part I
Dynamic complex-valued associative memory with strong bias terms
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Complex-Valued neuro-fuzzy inference system based classifier
SEMCCO'12 Proceedings of the Third international conference on Swarm, Evolutionary, and Memetic Computing
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A method to store each element of an integral memory set M ⊂ {1,2,...,K}n as a fixed point into a complex-valued multistate Hopfield network is introduced. The method employs a set of inequalities to render each memory pattern as a strict local minimum of a quadratic energy landscape. Based on the solution of this system, it gives a recurrent network of n multistate neurons with complex and symmetric synaptic weights, which operates on the finite state space {1,2,...,K}n to minimize this quadratic functional. Maximum number of integral vectors that can be embedded into the energy landscape of the network by this method is investigated by computer experiments. This paper also enlightens the performance of the proposed method in reconstructing noisy gray-scale images.