Complex-valued Hopfield neural networks extend the classical Hopfield model by allowing neuron activations and synaptic weights to assume complex values. This generalisation enables the encoding of ...
Complex-valued neural networks extend conventional real-valued architectures by leveraging complex arithmetic to model phenomena with inherent phase and amplitude components. Stability analysis in ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results