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

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 n...

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Hauptverfasser: Chen, L., Wedlake, M., Deliyannides, G., Kwok, H.H.L.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Artificial neural networks
Charge coupled devices
Computer architecture
Gallium arsenide
Hopfield neural networks
Neural networks
Neurons
Nonvolatile memory
Parallel architectures
Power dissipation
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Zusammenfassung: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.
DOI:10.1109/WESCAN.1995.494071