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001-es BibID:	BIBFORM020837
Első szerző:	Tisan, Alin
Cím:	Artificial olfaction system with hardware on-chip learning neural networks / Alin Tisan, Marcian Cirstea, Stefan Oniga, Attila Buchman
Dátum:	2010
Megjegyzések:	This paper presents a hardware implementation of a multilayer feed-forward neural network based on back propagation. The implementation is assumed to design and implement modules that emulate FF-BP functions with computing blocks of the predefined System Generator library and user defined blocks integrated in the System Generator library. The main application of the developed structure is an artificial olfactory system used to recognize the type of coffee presented in a test chamber. Data acquisition was achieved through the PC-MIO-16E-1 acquisition card and a virtual instrument, developed in Labview, for signal pre-processing and data logging into text files. The patterns presented (the type of coffee) have been recognized through neural networks. In order to select the RNA with the highest accuracy in recognising the coffee type, several different RNAs were simulated.
Tárgyszavak:	Műszaki tudományok Villamosmérnöki tudományok konferenciacikk folyóiratcikk Artificial olfaction On-chip learning Neural networks
Megjelenés:	12th Proceedings of the International Conference on Optimisation of Electrical and Electronic Equipment, OPTIM. - (2010), p. 884-889. -
További szerzők:	Cirstea, Marcian Oniga István László (1960-) (villamosmérnök) Buchman Attila (1957-) (villamosmérnök)
Internet cím:	Intézményi repozitóriumban (DEA) tárolt változat
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