A hybrid architecture for Hopfield neural networks and its GaAs implementation using CCDs as storage elements

A hybrid architecture for Hopfield artificial neural networks and its GaAs implementation are described in this paper. This approach merges parallel summation and multiplication and serial neuron state updating. For a N/spl times/N network, only N multipliers and one neuron activation function are needed.