Discrete-Time Cellular Neural Networks in FPGA

Discrete-Time Cellular Neural Networks in FPGA

This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions of neurons accommodated in low price FPGA devices, being able to process standard video in real time.

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Bibliographische Detailangaben
Hauptverfasser: Martinez-Alvarez, J.J., Toledo-Moreo, F.J., Ferrandez-Vicente, J.M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Cellular neural networks
Computer architecture
Computer networks
Convolution
Field programmable gate arrays
Hospitals
Image edge detection
Neural network hardware
Neurons
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Beschreibung
Zusammenfassung:This paper describes a novel architecture for the hardware implementation of non-linear multi-layer cellular neural networks. This makes it feasible to design CNNs with millions of neurons accommodated in low price FPGA devices, being able to process standard video in real time.
DOI:10.1109/FCCM.2007.25