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