DocumentCode :
3662412
Title :
An end user platform for implementing artificial neutron networks on FPGA
Author :
Alin Tisan;Jeannette Chin
Author_Institution :
Dept. of Computing and Technol., Anglia Ruskin Univ., Cambridge, UK
fYear :
2015
fDate :
7/1/2015 12:00:00 AM
Firstpage :
856
Lastpage :
859
Abstract :
The paper presents a novel neural design methodology based on the End User Programming concept. The proposed solution empowers end users, by means of abstracting the low-level hardware functionalities, to hardware implement Artificial Neural Networks (ANN) using field-programmable gate arrays (FPGA). The main outcomes include rapid ANN design and hardware implementation. A case study of an ANN as a pattern recognition module of an artificial olfaction system trained to identify four coffee brands is presented. An extended analysis has been carried out regarding the recognition rates versus data representation.
Keywords :
"Neurons","Field programmable gate arrays","Pattern recognition","Artificial neural networks","Biological neural networks","Network topology"
Publisher :
ieee
Conference_Titel :
Industrial Informatics (INDIN), 2015 IEEE 13th International Conference on
ISSN :
1935-4576
Electronic_ISBN :
2378-363X
Type :
conf
DOI :
10.1109/INDIN.2015.7281848
Filename :
7281848
Link To Document :
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