DocumentCode :
3315149
Title :
Overview of CNN research: 25 years history and the current trends
Author :
Zarandy, Akos ; Rekeczky, Csaba ; Szolgay, Peter ; Chua, Leon O.
Author_Institution :
Inst. for Comput. Sci. & Control (MTA-SZTAKI), Budapest, Hungary
fYear :
2015
fDate :
24-27 May 2015
Firstpage :
401
Lastpage :
404
Abstract :
Cellular Neural/Nonlinear Networks (CNN) were invented in 1988, as an easy to implement, easy to program computer architecture for image and signal processing. This initiated intensive international research activities that lead to both theoretical (e.g. universality, stability studies in array dynamics) and experimental results (e.g. cellular sensor-processor chips and cellular algorithms). This overview paper summarizes the history of the CNN research and overviews the current activities in this field. Other areas are also discussed which were fostered by the results of the 25 years of CNN research: memristor architectures and processing, spin-torque oscillator architectures, many-core FPGA processing and industrial vision chips.
Keywords :
cellular neural nets; history; neural chips; nonlinear network analysis; CNN research; cellular neural-nonlinear networks; computer architecture; image processing; industrial vision chips; many-core FPGA processing; memristor architectures; signal processing; spin-torque oscillator architectures; Arrays; Circuit theory; Neural networks; Very large scale integration; Visualization; CNN; CNN-UM; Cellular Neural/Nonlinear Networks; beyond CMOS; ultra-high-speed vision systems; universality;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Circuits and Systems (ISCAS), 2015 IEEE International Symposium on
Conference_Location :
Lisbon
Type :
conf
DOI :
10.1109/ISCAS.2015.7168655
Filename :
7168655
Link To Document :
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