DocumentCode :
2287035
Title :
Teaching CNN and learning by using CNN
Author :
Arena, P. ; Basile, A. ; Bucolo, M. ; Fortuna, L.
Author_Institution :
Dipt. Elettrico Elettronico e Sistemistico, Universita degli Studi di Catania, Italy
fYear :
2002
fDate :
22-24 Jul 2002
Firstpage :
595
Lastpage :
600
Abstract :
In this communication we remark our experience in teaching CNN technologies at the Universita degli Studi di Catania in the course of Adaptive Systems. The main result regards the possibility of using the CNN subject to introduce further topics in circuits and dynamical systems. The students reached high level skills in the related field. Moreover they have developed personalized simulation tools that used to make more experiments confirming that CNN are really the real paradigm for complexity.
Keywords :
adaptive systems; cellular neural nets; computational complexity; computer aided instruction; computer science education; digital simulation; learning (artificial intelligence); CNN technology teaching; adaptive systems; circuits; dynamical systems; Adaptive systems; Biotechnology; Cellular neural networks; Circuit simulation; Education; Feedback control; Image processing; Laboratories; Neuroscience; Robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cellular Neural Networks and Their Applications, 2002. (CNNA 2002). Proceedings of the 2002 7th IEEE International Workshop on
Print_ISBN :
981-238-121-X
Type :
conf
DOI :
10.1109/CNNA.2002.1035100
Filename :
1035100
Link To Document :
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