Title :
Discrete-Time Cellular Neural Networks in FPGA
Author :
Martínez-Álvarez, J. Javier ; Toledo-Moreo, F. Javier ; Ferrández-Vicente, J. Manuel
Author_Institution :
Univ. Polytech. de Cartagena Cuartel de Antiguones, Cartagena
Abstract :
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.
Keywords :
discrete time systems; field programmable gate arrays; multilayer perceptrons; neural chips; neural net architecture; FPGA; discrete-time cellular neural network architecture; nonlinear multilayer cellular neural network; standard video processing; Cellular neural networks; Computer architecture; Computer networks; Convolution; Field programmable gate arrays; Hospitals; Image edge detection; Neural network hardware; Neurons; Pins;
Conference_Titel :
Field-Programmable Custom Computing Machines, 2007. FCCM 2007. 15th Annual IEEE Symposium on
Conference_Location :
Napa, CA
Print_ISBN :
978-0-7695-2940-0
DOI :
10.1109/FCCM.2007.25
