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A single layer architecture to FPGA implementation of BP artificial neural network

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4 Author(s)
Liu Shoushan ; Coll. of Inf. & Electr. Eng., Shandong Univ. of Sci. & Technol., Qingdao, China ; Chen Yan ; Xu Wenshang ; Zhang Tongjun

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.

Published in:

Informatics in Control, Automation and Robotics (CAR), 2010 2nd International Asia Conference on  (Volume:2 )

Date of Conference:

6-7 March 2010

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