DocumentCode :
2244463
Title :
A single layer architecture to FPGA implementation of BP artificial neural network
Author :
Shoushan, Liu ; Yan, Chen ; Wenshang, Xu ; Tongjun, Zhang
Author_Institution :
Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China
Volume :
2
fYear :
2010
fDate :
6-7 March 2010
Firstpage :
258
Lastpage :
264
Abstract :
Based on discussions of the hardware implementations of artificial neural network (ANN), the single layer architecture to FPGA of the back propagation artificial neural network (BP ANN) is proposed. To construct the single layer architecture, the computing blocks of BP ANN are presented. The construction of the single layer architecture is described. According the experiments of the implementation in FPGA and the defects classification in ultrasonic non-destruction detection of carbon fibre reinforced plastic (CFRP), the single layer architecture of BP ANN performs well and can serve the applications.
Keywords :
backpropagation; carbon fibre reinforced plastics; field programmable gate arrays; FPGA implementation; back propagation artificial neural network; carbon fibre reinforced plastic; field programmable gate array; single layer architecture; ultrasonic nondestruction detection; Artificial neural networks; Authentication; Communication system security; Databases; Field programmable gate arrays; Information security; Protocols; RFID tags; Radiofrequency identification; Robotics and automation; FPGA; architecture; hardware implementation; neural network;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on
Conference_Location :
Wuhan
ISSN :
1948-3414
Print_ISBN :
978-1-4244-5192-0
Electronic_ISBN :
1948-3414
Type :
conf
DOI :
10.1109/CAR.2010.5456553
Filename :
5456553
Link To Document :
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