DocumentCode
3344878
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
fYear
2007
fDate
23-25 April 2007
Firstpage
293
Lastpage
294
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/FCCM.2007.25
Filename
4297271
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