DocumentCode :
2994082
Title :
FPGA implementation of Feed-Forward Neural Networks for smart devices development
Author :
Oniga, Stefan ; Tisan, Alin ; Mic, Daniel ; Lung, Claudiu ; Orha, Ioan ; Buchman, Attila ; Vida-Ratiu, Andrei
Author_Institution :
Electron. & Comput. Eng. Dept., North Univ. of Baia Mare, Baia Mare, Romania
fYear :
2009
fDate :
9-10 July 2009
Firstpage :
1
Lastpage :
4
Abstract :
This paper presents the results obtained in the implementation of feed-forward artificial neural networks (FF-ANN) with one or several layers, used in the development of smart devices that needs learning capability and adaptive behavior. The networks were implemented using ANN specific blocks created by the authors using the system generator software. The training and the testing of the networks was conducted using sets of 150 training and test vectors with 7 elements.
Keywords :
feedforward neural nets; field programmable gate arrays; FPGA; feed-forward artificial neural network; smart devices; system generator software; Artificial neural networks; Biological system modeling; Feedforward neural networks; Feedforward systems; Field programmable gate arrays; Mathematical model; Neural networks; Neurons; Software libraries; Testing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signals, Circuits and Systems, 2009. ISSCS 2009. International Symposium on
Conference_Location :
Iasi
Print_ISBN :
978-1-4244-3785-6
Electronic_ISBN :
978-1-4244-3786-3
Type :
conf
DOI :
10.1109/ISSCS.2009.5206129
Filename :
5206129
Link To Document :
بازگشت