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.

• Type: Conference
• Year: 2007
• Where: FCCM
• Authors: J. Javier Martínez-Álvarez, F. Javier Toledo-Moreo, José Manuel Ferrández de Vicente
• Keywords: Cellular Neural Networks, FCCM 2007, Hardware Implementation, Low Price Fpga, VLSI