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